EY Intelligent Automation Architecture - Manager Consulting Location OPEN 

United States, California, San Francisco 

663641831

Technology -AI & Data –Data Engineering – Manager – Telecomm, Media & Tech sector

As a Data Engineering Manager, you will have the unique opportunity to design and construct analytics solutions that drive tangible business value. You will work collaboratively with a team of data professionals to translate complex business requirements into technical specifications, ensuring the development aligns with the intended design. Your role will involve designing, building, and operating sustainable data architecture, optimizing data functionality for both on-premises and cloud-based platforms.

Your key responsibilities

In this role, you will manage and deliver multiple processes, solutions, and projects, focusing on quality and effective risk management. You will be proactive in continuous process improvement, leveraging research and analysis to identify innovative solutions. Your responsibilities will include:

• Leading workstream delivery, project management, client engagement, identifying sales opportunities, and contributing to engagement economics and resource planning
• You will also be expected to be billable to an external client
• Design and construct analytics solutions
• Translate business requirements into technical specifications
• Optimize data functionality for data platforms
• Build out new integrations using cloud native technologies to support continuing increases in data source, volume, and complexity.
• Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the data ecosystem.
• Support standardization, customization and ad-hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data.
• Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Implement processes and systems to drive data reconciliation and monitor data quality.
• Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity.
• Extract, transform, and load data from multiple external/internal sources into a single, consistent source to serve business users and data visualization needs.
• Utilize the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, foster enhanced code quality, test coverage, and automation of resilient test cases.
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
• Solve complex data problems by delivering insights that help achieve business objectives.
• Lead and mentor more junior team members.

Skills and attributes for success

To thrive in this role, you will need a strong ability to manage change, lead teams effectively, and maintain excellent relationship management skills. You should be adept at problem-solving, critical thinking, and have a deep expertise in data architecture and software engineering.

• Partner with Business Analysts and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.
• Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity.
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth.
• Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions.
• Develop solutions for complex problems
• Suggest changes to policies and establish new procedures
• Provide direction and feedback to team members

To qualify for the role, you must have

• A Bachelor's degree in STEM
• 6+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development.
• 3+ years’ experience with native cloud products and services such as AWS, Azure or GCP.
• 2+ years of experience mentoring and leading a team of data engineers, fostering a culture of innovation and professional development.
• Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines.
• Proven track record of designing and implementing complex data solutions.
• Demonstrated understanding and experience using:
• Data engineering programming languages (e.g., Python)
• Distributed data technologies (e.g., Pyspark)
• Cloud platform deployment and tools (e.g., Kubernetes)
• Relational SQL databases
• DevOps and continuous integration
• GitHub
• Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions.
• Understanding of database architecture and administration.
• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners.
• Experience in using Agile methodologies (Scrum, Kanban, etc.).
• Strong problem solving and troubleshooting skills.
• Ability to work in a fast-paced environment and adapt to changing business priorities.

Ideally, you’ll also have

• Strong business acumen with the ability to manage complex client relationships
• Proven experience in managing and leading teams within a dynamic environment
• Excellent communication and interpersonal skills
• Experience in at least one of Telecom, Media, and Technology industries.
• Experience with cloud data platforms like Snowflake and Databricks.
• Experience in leading and influencing teams, with a focus on mentorship and professional development.
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.