Lead Data Engineer - Data Transformation (Modeling and Architecture)

About the role

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.

Responsibilities

• Build and maintain comprehensive data models—spanning conceptual, logical, and physical layers—to ensure scalable architecture and high data integrity across enterprise systems.
• Lead design of the org data landscape by applying Consumer Driven design principles, ensuring that data structures reflect business realities and evolving organizational needs.
• Architect and implement robust data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support diverse analytical and operational requirements.
• Support high-performance data pipelines and complex transformations that utilize SQL, Spark, and Python to process large-scale datasets efficiently.
• Define and Enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability.
• Translate complex technical concepts into actionable business insights, working independently to lead initiatives and collaborate with stakeholders to meet organizational goals.
• Contribute to the evolution of the data ecosystem by designing AI-ready architectures.
• Collaborate with and across Agile teams to design, develop, implement, and support technical solutions.
• Work with a team of developers with deep experience in machine learning, AI, distributed microservices, and full stack systems.
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.

Requirements

• Bachelor’s Degree
• At least 4 years of experience in application development
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications

• 4+ years of experience in Data Architecture / Data Modeling
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ year experience working on real-time data and streaming applications
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 4+ years of data warehousing experience (Redshift or Snowflake)
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting
• 2+ years of experience with Agile engineering practices
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Benefits

The company offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Pay

Salaries for Lead Data Engineer positions vary by location:

• Cambridge, MA: $197,300 - $225,100
• Mclean, VA: $197,300 - $225,100
• Richmond, VA: $179,400 - $204,700

Schedule

This role is full-time.

Skills

Capital One values diversity and inclusion and is committed to creating a workplace where all employees feel valued and respected. We are an equal opportunity employer and consider applicants without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, veteran status, or any other legally protected characteristic.