Solution Architect jobs in United States, Virginia, Arlington

In this role, you will provide technical leadership for designing and implementing critical technology solutions which span a wide number of Card Platforms. In addition to working with an integrated Partnerships business, technology and operations team, you will have the opportunity to contribute to architecture across broader Card and Enterprise teams, which are tightly integrated throughout Partnerships solutions.

Primary Responsibilities:

• Lead solutions architecture design for multi-platform/cross-platform solutions

• Leading Trade-off and impact analysis work for hard to change technical decisions, and manage technical conflict

• Demonstrate thought leadership and strategy in partnership with delivery and product partners

• Explain and represent solutions in the Architecture Review Boards, and various product, platform and architecture discussions

• Presenting work products and strategies to product managers, technology leadership across Capital One

• Function as a primary architecture point of contact for other architecture teams & and delivery teams for solutions and systems

• Continuously learn as technology needs evolve

The successful candidate will:

• Effectively communicate and build relationships to interact, inform, influence and communicate with key stakeholders at all levels across the company

• Exhibit mastery of facilitation and influence across teams, departments and divisions

• Enjoy the camaraderie, debates, and learning that comes from working with a team of passionate technologists

• See the impact of near term and long term choices, and are great at explaining it

• Possess excellent organizational skills and ability to multitask, while quickly shifting context and priorities

• Have a proven track record for leading and enabling technology, architecture and software engineering activities at enterprise scale

• Be self-motivated and display an unwavering responsibility to deliver high quality results and commitments

• Possess a keen attention to detail and a passion for Architecture, Software Engineering, Technology and Customer Experience

• Have an intellectual curiosity and interest to maintain and acquire new business, technology and architecture skills

Basic Qualifications:

• Bachelor's Degree

• At least 6 years of experience in Software Engineering and Systems Architecture or Technology Solution design

• At least 2 years of experience creating solutions architectures in a public cloud (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering or Information Technology

• 10+ years of experience in software engineering

• 5+ years of experience as a Solutions Architect in large/complex organizations

• 8+ years of experience architecting, designing, and/or delivering delivering scalable and decoupled systems in a heavily regulated technology environment

• 3+ years of experience working with internal and external business clients

• 3+ years of experience with AWS concepts and implementations

• Experience to engaging, influencing and driving initiatives by partnering with technology executives

• Experience mentoring software engineers or architects

• Experience in a regulated environment (HIPAA, PCI, Privacy, etc)

• Ability to communicate at all levels in the organizations with required technical depth and breadth

• AWS or equivalent certifications (Cloud Practitioner, Solution Architect-Associate, GCP or Azure)

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Primary Responsibilities:

• Lead solutions architecture design for multi-platform/cross-platform solutions

• Leading Trade-off and impact analysis work for hard to change technical decisions, and manage technical conflict

• Demonstrate thought leadership and strategy in partnership with delivery and product partners

• Explain and represent solutions in the Architecture Review Boards, and various product, platform and architecture discussions

• Presenting work products and strategies to product managers, technology leadership across Capital One

• Function as a primary architecture point of contact for other architecture teams & and delivery teams for solutions and systems

• Continuously learn as technology needs evolve

The successful candidate will:

• Effectively communicate and build relationships to interact, inform, influence and communicate with key stakeholders at all levels across the company

• Exhibit mastery of facilitation and influence across teams, departments and divisions

• Enjoy the camaraderie, debates, and leaning that comes from working with a team of passionate technologists

• See the impact of near term and long term choices, and are great at explaining it

• Possess excellent organizational skills and ability to multitask, while quickly shifting context and priorities

• Have a proven track record for leading and enabling technology, architecture and software engineering activities at enterprise scale

• Be self-motivated and display an unwavering responsibility to deliver high quality results and commitments

• Possess a keen attention to detail and a passion for Architecture, Software Engineering, Technology and Customer Experience

• Have an intellectual curiosity and interest to maintain and acquire new business, technology and architecture skills

Basic Qualifications:

• Bachelor's Degree

• At least 6 years of experience in Software Engineering and Systems Architecture or Technology Solution design

• At least 2 years of experience creating solutions architectures in a public cloud (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering or Information Technology

• 7+ years of experience in software engineering

• 5+ years of experience as a Solutions Architect in large/complex organizations

• 8+ years of experience architecting, designing, and/or delivering delivering scalable and decoupled systems in a heavily regulated technology environment

• 3+ years of experience working with internal and external business clients

• 3+ years of experience with AWS concepts and implementations

• Experience to engaging, influencing and driving initiatives by partnering with technology executives

• Experience mentoring software engineers or architects

• Experience in a regulated environment (HIPAA, PCI, Privacy, etc)

• Ability to communicate at all levels in the organizations with required technical depth and breadth

• AWS or equivalent certifications (Cloud Practitioner, Solution Architect-Associate, GCP or Azure)

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

In this role, you will be a part of our Bank Modernization team and will be designing services at the heart of our new core banking platform as well as supporting other critical initiatives such as migrating clients to a core agnostic interface that can abstract away the clients from the underlying systems of record and ensure there is no disruption of services for the clients.

Key responsibilities:

• Articulate and evangelize a bold technical vision for your domain

• Decompose complex problems into practical and operational solutions

• Ensure the quality of technical design and implementation

• Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability

• Continue learning and injecting advanced technical knowledge into our community

• Handle several projects simultaneously, balancing your time to maximize impact

• Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

• Abstract clients from core systems of record

• Migrate clients to a core agnostic GraphQL interface layer

• Provide automation and tooling to accelerate client onboarding to the modern core efficiently

• Ensure all the client applications and use cases function as expected post migration

Basic Qualifications:

• Bachelor’s Degree

• At least 7 years of experience in software engineering

• At least 5 years of experience working with at least one of the following programming languages: Java, Python, or Node.js

• At least 3 years of experience in public cloud technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

Preferred Qualifications:

• Masters’ Degree

• 9+ years of software engineering experience

• 5+ years of experience in AWS

• 5+ years of experience architecting cloud-native applications

• Experience working with event-driven and microservice architectures

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Job Responsibilities:

• Interprets and delivers impactful plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.

• Designs the structure and layout of security data systems, including databases, warehouses, and lakes.

• Participate in the selection and implementation of security data management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures.

• Architect and design processes for the ETL process from various sources into the organization’s data systems.

• Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.

• Matures and optimizes the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.

• Leads and participates in the peer review and quality assurance of project architectural artifacts across the enterprise architecture group through governance forums.

• Defines and manages standards, guidelines, and processes to ensure data quality.

• Create value from business-driven data and analytics initiatives:

• Prototype and develop minimum viable data products and associated business case (estimate cost and benefit of the MVP when moved toproduction).

• Identify and explore new data sources and analytical methods to support the requirements of the organization.

• Evaluates and recommends emerging technologies for data management, storage, and analytics.

• Surface insights to leadership, as needed, to update and influence.

• Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above

Your qualifications and experience should include:

• Bachelor’s degree in Information Technology, Computer Information Systems, Data Management, Data Science or equivalent combination of education and experience required.

• At least 7 years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives, at least 2 years specialized in security data.

• Experience in technically leading projects involving data warehousing, data modeling, and data analysis.

• Background in programming languages such as Java, Python, and C/C++

• Experience with data science languages/tools such as SQL, R, SAS, or Excel.

• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks).

• Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata.

• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.

• Ability to assess traditional and modern data architecture components based on business needs.

• Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau.

• Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders.

• Strong work ethic and commitment to accomplish assigned tasks.

• All candidates must be authorized to work in the US.

Capital One is looking for a Distinguished Engineer with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of a high performance data ecosystem that supports real-time, intelligent experiences to enable our Risk Management functions. In this role, you will help shape the Risk Management Data domains that will drive our journey towards standardized data assets and data products.

Key Responsibilities:

• Define and Implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and to ensure high quality data for gaining insights / downstream consumptions

• Lead the creation of data models and ontologies to standardize data definitions, relationships and semantics across systems

• Collaborate with extended teams and stakeholders to establish data standards, metadata management practices and data quality frameworks

• Design scalable architectures that integrate various data sources, systems, and platforms while minimizing duplication

• Partner with engineering, data analysis, data science and business teams to align data solutions with business needs. Mentor technical teams in data architecture best practices

• Develop comprehensive architectural documentation and communicate data architecture principles to both technical and non-technical stakeholders

• Conduct exploratory data analysis to elucidate deficiencies and opportunities with tangible evidence

• Partner with other Distinguished Engineers across the enterprise to identify and foster investments in shared data services and platforms

• Engage with senior business product leads to understand the business strategy, value propositions, relative priorities and criteria for success.

What skills do you need to have:

• Hands on experience with AWS Cloud data technologies including RDS, DynamoDB, S3 and Glue ETL

• Experience designing and implementing event based stream processing solutions using technologies such as Kafka, Kinesis, Spark and Flink

• Ability to design and implement high availability, multi-region data replication for mission critical applications

• Experience designing and implementing data management solutions that enable Data Quality, Reference Data Management, and Metadata Management.

• A track record of designing and implementing end-to-end data pipelines supporting both production and analytic use cases

• Comfortable coding with Python or Scala and proficient in SQL

• In-depth understanding of AVRO, Parquet and DeltaLake data formats

• Background using multiple data storage technologies including relational, document, key/value, graph and object stores

• Demonstrated ability to partner with internal product and intent owners to help define requirements and outcomes for data-focused initiatives

• Ability to decompose large problems and execute smaller, manageable bodies of work to demonstrate continuous architecture delivery

• Understanding of machine learning and AI data infrastructure needs

Basic Qualifications:

• Bachelor’s degree

• At least 7 years of experience in Data Architecture and Data Engineering

• At least 7 years of Data modeling and platform design

• At least 2 years of experience in cloud computing (building applications in AWS )

Preferred Qualifications:

• Bachelor's or Master's Degree in Computer Science or a related field

• At least 2 years of experience with ontology standards for defining a domain

• At least 2 years of experience using Python, SQL or Scala

• At least 1 year of experience deploying machine learning models

• Experience implementing knowledge graphs

• Familiarity with Industry standards related to Data

• Experience with data mesh, data lakehouse architectures and real-time data pipelines

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Job Responsibilities:

• Interprets and delivers impactful plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.

• Designs the structure and layout of security data systems, including databases, warehouses, and lakes.

• Participate in the selection and implementation of security data management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures.

• Architect and design processes for the ETL process from various sources into the organization’s data systems.

• Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.

• Matures and optimizes the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.

• Leads and participates in the peer review and quality assurance of project architectural artifacts across the enterprise architecture group through governance forums.

• Defines and manages standards, guidelines, and processes to ensure data quality.

• Create value from business-driven data and analytics initiatives:

• Prototype and develop minimum viable data products and associated business case (estimate cost and benefit of the MVP when moved toproduction).

• Identify and explore new data sources and analytical methods to support the requirements of the organization.

• Evaluates and recommends emerging technologies for data management, storage, and analytics.

• Surface insights to leadership, as needed, to update and influence.

• Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above

Your qualifications and experience should include:

• Bachelor’s degree in Information Technology, Computer Information Systems, Data Management, Data Science or equivalent combination of education and experience required.

• At least 7 years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives, at least 2 years specialized in security data.

• Experience in technically leading projects involving data warehousing, data modeling, and data analysis.

• Background in programming languages such as Java, Python, and C/C++

• Experience with data science languages/tools such as SQL, R, SAS, or Excel.

• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks).

• Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata.

• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.

• Ability to assess traditional and modern data architecture components based on business needs.

• Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau.

• Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders.

• Strong work ethic and commitment to accomplish assigned tasks.

• All candidates must be authorized to work in the US.