Data Engineering Manager - Cloud Data Architecture

Capital One; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Manager, Data Engineering - Modeling and Architecture to drive cloud-first data solutions and scalable pipelines. You will lead cross-functional teams across ML, distributed systems, and lakehouse architectures for impactful financial technology applications.

The role emphasizes mentoring, staying ahead of data trends, and delivering robust data platforms that power services for millions of Americans.

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field.
• 4+ years of application development experience; 2+ years in distributed data.
• 2+ years SQL experience; 2+ years in one programming language (Python/Java/Scala).
• 2+ years data pipeline design and development; 1+ year data modeling experience.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support full-stack data solutions.
• Influence a team of developers, data analysts, and data scientists with ML and lakehouse architectures.
• Use Python and Spark with relational and NoSQL databases, plus Databricks and Snowflake.
• Mentor colleagues, stay current with data trends, and participate in data communities.
• Deliver cloud-first data solutions that empower millions of people with financial tools.

Skills

Python

SQL

Java/Scala

Data modeling

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

AWS

Spark

Job description

Capital One is seeking a Manager, Data Engineering - Modeling and Architecture to drive cloud-first data solutions and scalable pipelines. You will lead cross-functional teams across ML, distributed systems, and lakehouse architectures for impactful financial technology applications.

The role emphasizes mentoring, staying ahead of data trends, and delivering robust data platforms that power services for millions of Americans.