Distinguished Engineer, Risk Management Data Architect

$274,800 - $313,600/Yr

Capital One - McLean, VA

Full-time - Senior

McLean, VA

Credit Intermediation and Related Activities

About the position

Capital One is seeking a Distinguished Engineer specializing in data engineering, architecture, and modeling to enhance the Risk Management functions through the design and implementation of a high-performance data ecosystem. This role involves shaping data domains to standardize data assets and products, significantly impacting technology solutions and driving innovation across the organization. The Distinguished Engineer will work within the Risk Technology organization, focusing on building data-driven tools that leverage machine learning to mitigate risks and enhance operational efficiency.

Responsibilities

• Define and implement data architecture standards, frameworks, and guidelines to ensure data platform efficiency and high-quality data for insights.
• 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 identify 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 business strategy, value propositions, relative priorities, and criteria for success.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• Comprehensive health insurance coverage
• Performance-based incentive compensation including cash bonuses and/or long-term incentives
• 401(k) retirement savings plan
• Flexible work arrangements
• Paid time off and holidays
• Tuition reimbursement for further education
• Professional development opportunities