Lead Data Engineer - Data Transformation (Modeling and Architecture)
AI summary of the role
Lead Data Engineer role focused on data transformation, modeling, and architecture at a major financial institution.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and maintain comprehensive data models (conceptual, logical, physical) for scalable architecture and high data integrity
- Architect and implement data ecosystem solutions including Data Lake and Data Warehouse patterns
- Build high-performance data pipelines and complex transformations using SQL, Spark, and Python
- Define and enforce data governance standards and manage metadata frameworks
What you’ll bring
- 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)
Technologies
SQL · Spark · Python · AWS · Azure · GCP · Kafka · Redshift · Snowflake · NoSQL · Mongo · Cassandra
About Capital One
US consumer bank and largest credit card issuer; cloud-native operator running credit cards, auto loans, retail banking, and now the Discover network on AWS.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Lead Data Engineer - Data Transformation (Modeling and Architecture) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? 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. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Design and maintain comprehensive data models—spanning conceptual, logical, and physical layers—to ensure scalable architecture and high data integrity across enterprise systems. Architect and implement robust data ecosystem solutions,
More from the job description
Lead Data Engineer - Data Transformation (Modeling and Architecture) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? 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. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Design and maintain comprehensive data models—spanning conceptual, logical, and physical layers—to ensure scalable architecture and high data integrity across enterprise systems. 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 initiati [... source excerpt omitted ...] laborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Basic Qualifications: Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply) 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 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft A [... source excerpt omitted ...] , and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to a
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