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Senior Engineer jobs in United States, Florida, Miami
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Miami
53 jobs found
08.12.2025
EY
EY Databricks Data Engineer - Senior Consulting Location Open United States, Florida, Miami
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Designing, building, and operating scalable on-premises or cloud data architecture. Analyzing business requirements and translating them into technical specifications. Optimizing data flows for target data platform designs. Design, develop, and...
Description:
Technology – Data and Decision Science – Data Engineering – Senior
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.
Your key responsibilities
As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:
- Designing, building, and operating scalable on-premises or cloud data architecture.
- Analyzing business requirements and translating them into technical specifications.
- Optimizing data flows for target data platform designs.
- Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
- Lead end-to-end data pipeline development, including data ingestion, transformation, and storage.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Provide technical guidance and mentorship to junior data engineers and team members.
- Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts.
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
- Stay updated with the latest trends and technologies in data engineering and cloud computing.
This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients.
Skills and attributes for success
To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for:
- Strong analytical and decision-making skills.
- Proficiency in cloud computing and data architecture design.
- Experience in data integration and security.
- Ability to manage complex problem-solving scenarios.
To qualify for the role, you must have
- A Bachelor’s degree in Computer Science, Engineering, or a related field required (4-year degree). Master’s degree preferred
- Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions.
- 5+ years of experience in data engineering, with a focus on cloud data solutions.
- Expertise in Databricks and experience with Spark for big data processing.
- Proven experience in at least two end-to-end data engineering implementations, including:
- Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence.
- Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making.
- Strong programming skills in languages such as Python, Scala, or SQL.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with a focus on client management.
Required Expertise for Senior Consulting Projects:
- Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives.
- Project Management: Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope.
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Ideally, you’ll also have
- Experience with data quality management.
- Familiarity with semantic layers in data architecture.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and compliance standards.
- Experience with machine learning frameworks and tools.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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07.12.2025
EY
EY Databricks Data Engineer - Manager Consulting Location Open United States, Florida, Miami
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Understanding and analyzing business requirements to translate them into technical requirements. Designing, building, and operating scalable data architecture and modeling solutions. Staying up to date with the latest trends and...
Description:
Technology – Data and Decision Science – Data Engineering – Manager
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:
- Understanding and analyzing business requirements to translate them into technical requirements.
- Designing, building, and operating scalable data architecture and modeling solutions.
- Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
Key Responsibilities:
As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:
- Leading workstream delivery and ensuring quality in all processes.
- Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
- Implementing resource plans and budgets while managing engagement economics.
This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.
Skills and attributes for success:
To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:
- Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
- Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
- Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
- Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
- Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
- Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
- Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
- Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
- Strong analytical and problem-solving abilities.
- Excellent communication skills, with the ability to convey complex information clearly.
- Proven experience in managing and delivering projects effectively.
- Ability to build and manage relationships with clients and stakeholders.
To qualify for the role, you must have:
- Bachelor’s degree in computer science, Engineering, or a related field required; Master’s degree preferred.
- Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
- Proven expertise in Databricks and experience with Spark for big data processing.
- Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
- Experience in leading and managing teams, with a focus on mentoring and developing talent.
- Strong programming skills in languages such as Python, Scala, or SQL.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with a focus on client management.
Required Expertise for Managerial Role:
- Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
- Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Large-Scale Implementation Programs:
- Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.
- Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
- Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.
Ideally, you’ll also have:
- Experience with advanced data analytics tools and techniques.
- Familiarity with machine learning concepts and applications.
- Knowledge of industry trends and best practices in data engineering.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and compliance standards.
- Experience with machine learning frameworks and tools.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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07.12.2025
EY
EY Data Modeler - Senior Consulting Miami/South United States, Florida, Miami
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Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach), a core skill for...
Description:
Data Modeler – Senior
We are seeking a highly skilled Senior Consultant Data Modeler with expertise in delivering data models that meet business requirements. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects.
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data models and solutions that support the entire data asset lifecycle.
Your key responsibilities
As a Senior Data Modeler, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:
- Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach), a core skill for this role .
- Design and implement star schemas (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency.
- Define and model Slowly Changing Dimensions (SCD) , with an emphasis on SCD Type 2 , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time.
- Collaboratively determine the appropriate grain (atomic level of detail) for fact tables and identify measurable facts (metrics) and their relationships to the surrounding dimension tables.
- Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools.
- Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs.
- Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
- Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
- Manage and provide guidance to a small team of 1-3 resources
- Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
- Create detailed source-to-target mapping (STM) documentation and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules.
- Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes.
- Guide team on implementing data modelling techniques such as Kimball’s dimensional modeling
- Developing conceptual, logical, and physical data models to support data analysis and business intelligence.
- Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control.
To qualify for the role, you must have
- A Bachelor’s degree in STEM
- 7+ Years of hands-on Experience in data modelling
- Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling
- Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server).
- Strong understanding of data warehousing principles, ETL/ELT architecture, data quality management, and metadata management.
- Mastery of SCD Type 2 (SCD2) implementation for preserving historical data (e.g., using surrogate keys , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected
- The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models.
- Proficiency in data modelling tools such as Erwin / Visio or Power Designer
- Experience in designing and implementing database structures
- Ability to create and maintain conceptual, logical, and physical data models
- Knowledge of industry best practices for data modelling and database design
- Ability to collaborate with cross-functional teams to gather and analyze data requirements
- Experience in performance tuning and optimization of database queries
- Having cloud certification is an added advantage
- Strong analytical and problem-solving skills
- Excellent communication and documentation skills.
- Knowledge in Hospitality Domain is mandatory.
Ideally, you’ll also have
- Proven ability to navigate complex issues and make informed decisions
- Experience in supervising and guiding junior team members
- Demonstrated participation in sales opportunities and RFP responses
- Cloud knowledge and/or certification. Preferably Azure DP-203
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
- Spanish speaking
- Italian speaking
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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17.09.2025
JPM
JPMorgan Latin America Private Bank- Senior Client United States, Florida, Miami
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Provide exceptional client service and flawless execution on client requests, inquiries and transactions such as money movement, security transfers, and loan transactions including escalated research requests. Adhere to and maintain...
Description:
As a Senior Client Service Associate within the Latin America Private Bank at J.P. Morgan you will be responsible for maintaining, deepening and enriching client relationships. You will serve as the primary point of contact for all service related needs of a Private Banking client. This will entail working in a complex team-oriented and fast paced environment with advisors, product partners and operations teams to deliver a seamless and integrated approach across all Private Banking products.
Job responsibilities
- Provide exceptional client service and flawless execution on client requests, inquiries and transactions such as money movement, security transfers, and loan transactions including escalated research requests
- Adhere to and maintain the firm’s controls policies and procedures and FINRA regulations as well as protecting client assets against potential fraud activities
- Collaborate with respective client facing teams and internal business groups to deliver and execute client transactions
- Review and identify potential business opportunities for clients to engage in additional products, services, and digital platform.
Required qualifications, capabilities, and skills
- FINRA Securities Industry Essentials, Series 7 and Series 63 licenses required for the position
- Proven ability to operate effectively in a matrix organization with the ability to work under pressure with tight deadlines
- Proficiency with Microsoft Office Suite (Word, Excel and PowerPoint) and Microsoft Outlook
- Ability to fluently communicate (written and verbal) in Portuguese
- 3+ years of experience in the investment management industry
Preferred qualifications, capabilities, and skills
- College degree or equivalent client service experience preferred
- Experience with a wide array of financial products preferred
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09.09.2025
JPM
JPMorgan Business Relationship Manager Senior Not-for-Profit - Vice P... United States, Florida, Miami
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Build collaborative internal and external relationships to provide the best in client advice and service, develop the business to ensure a seamless experience for the client who has multiple products...
Description:
As a Business Relationship Manager (BRM) Senior Not-for-Profit in Business Banking, you’ll manage existing client relationships and develop new business strategies focused on client selection. You’ll provide an outstanding client experience, and maintain adherence to the regulatory, legal, and risk management frameworks unique to these client segments.
Job responsibilities
- Build collaborative internal and external relationships to provide the best in client advice and service, develop the business to ensure a seamless experience for the client who has multiple products and services
- Serve as a trusted advisor to the client in delivering comprehensive and customized business banking products and solutions tailored to the financial needs and circumstances of Not-for-Profit clients
- Manage a portfolio of 50-65 clients; grow portfolio by prospecting for new clients and deepening relationships with existing clients
- Manage credit opportunities within assigned portfolio up to $40 million
- Utilize extensive referral networks and centers of influence to identify and pursue potential new clients, looking for ways to cultivate a long-term relationship
- Build relationships by calling on existing clients to truly understand their organizations/institutions and analyze product and service growth opportunities and ensure profitability of Not-for-Profit portfolio
- Protect the firm by following sound risk management protocols and adhering to regulatory requirements
Required qualifications, capabilities and skills
- Minimum of 8 years’ experience in business banking relationship management role or related business lending experience
- Bachelor’s degree in Finance or related field, or equivalent work experience
- Knowledge of the unique requirements, laws, regulations, and risk management for Not-for-Profit client base; familiarity with the formal Request For Proposal process and due diligence
- Able to identify innovative solutions to best serve client and/or manage risk
- Demonstrate seasoned judgment to offer comprehensive and customized solutions that best meet client needs; monitors and researches segment trends and outcomes to anticipate client needs and present proactive solutions
- Strong current business network; viewed as a leader in community organizations such as Chambers of Commerce, Non-Profit boards
Preferred qualifications, capabilities, and skills
- Expert knowledge of business, credit underwriting with commercial credit training.
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06.09.2025
A
Amazon Senior Solutions Architect Global Energy & Utilities United States, Florida, Miami
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DESCRIPTIONIn partnership with Global Account Managers, you will shape and execute a strategy to build mindshare and enable the broad use of AWS within the organization. You exercise good judgement...
Description:
PREFERRED QUALIFICATIONS
DESCRIPTION
In partnership with Global Account Managers, you will shape and execute a strategy to build mindshare and enable the broad use of AWS within the organization. You exercise good judgement in balancing short-term value with longer-term supportability and are keenly aware of how technological changes might impact your solutions.A day in the life
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
BASIC QUALIFICATIONS
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Knowledge of Generative AI technologies and applicability in real world applications is a must.
PREFERRED QUALIFICATIONS
- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
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05.09.2025
J
Jacobs Senior Project Controls Professional – Water/Wastewater United States, Florida, Miami
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At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission critical outcomes, operational advancement, scientific discovery and cutting edge...
Description:
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Share
Designing, building, and operating scalable on-premises or cloud data architecture. Analyzing business requirements and translating them into technical specifications. Optimizing data flows for target data platform designs. Design, develop, and...
Description:
Technology – Data and Decision Science – Data Engineering – Senior
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.
Your key responsibilities
As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:
- Designing, building, and operating scalable on-premises or cloud data architecture.
- Analyzing business requirements and translating them into technical specifications.
- Optimizing data flows for target data platform designs.
- Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
- Lead end-to-end data pipeline development, including data ingestion, transformation, and storage.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Provide technical guidance and mentorship to junior data engineers and team members.
- Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts.
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
- Stay updated with the latest trends and technologies in data engineering and cloud computing.
This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients.
Skills and attributes for success
To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for:
- Strong analytical and decision-making skills.
- Proficiency in cloud computing and data architecture design.
- Experience in data integration and security.
- Ability to manage complex problem-solving scenarios.
To qualify for the role, you must have
- A Bachelor’s degree in Computer Science, Engineering, or a related field required (4-year degree). Master’s degree preferred
- Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions.
- 5+ years of experience in data engineering, with a focus on cloud data solutions.
- Expertise in Databricks and experience with Spark for big data processing.
- Proven experience in at least two end-to-end data engineering implementations, including:
- Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence.
- Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making.
- Strong programming skills in languages such as Python, Scala, or SQL.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with a focus on client management.
Required Expertise for Senior Consulting Projects:
- Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives.
- Project Management: Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope.
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Ideally, you’ll also have
- Experience with data quality management.
- Familiarity with semantic layers in data architecture.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and compliance standards.
- Experience with machine learning frameworks and tools.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Show more
These jobs might be a good fit
Find your next career move in the high tech industry with Expoint. Our platform offers a wide range of Senior Engineer job opportunities in the United States, Florida, Miami area, giving you access to the best companies in the field. Whether you're looking for a new challenge or a change of scenery, Expoint makes it easy to find your perfect job match. With our easy-to-use search engine, you can quickly find job opportunities in your desired location and connect with top companies. Sign up today and take the next step in your high tech career with Expoint.