Data Engineering & Architecture Lead

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

Job summary

Capital One is seeking a Manager of Data Engineering focused on Modeling and Architecture to drive transformative data initiatives. You will guide cross-functional teams, design cloud-native data pipelines, and ensure scalable, secure data platforms using Databricks, Snowflake, and Spark.

The role emphasizes collaboration with product managers and engineers, mentoring team members, and delivering end-to-end data solutions that empower financial services for millions of customers.

Qualifications

• Bachelor’s Degree or higher in Computer Science or related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• 4+ years of application development experience
• 2+ years of distributed data experience
• 2+ years of SQL experience
• 2+ years of one programming language (Python, Java, or Scala)
• 2+ years of data pipeline design and development
• 1+ year of data modeling and end-to-end data solutions design (relational and non-relational)

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence a team of developers, data analysts and data scientists
• Utilize Python, Spark and cloud-based data warehousing platforms like Databricks and Snowflake
• Mentor data community members and stay updated on trends
• Deliver cloud-first data solutions that empower millions of users
• Design and deliver data pipelines and ensure scalability and security

Skills

Python

SQL

Spark

NoSQL

Data Modeling

Data Architecture

Education

Bachelor’s Degree in Computer Science

Tools

Databricks

Snowflake

EMR

Airflow

Dagster

Snowflake

Job description

Capital One is seeking a Manager of Data Engineering focused on Modeling and Architecture to drive transformative data initiatives. You will guide cross-functional teams, design cloud-native data pipelines, and ensure scalable, secure data platforms using Databricks, Snowflake, and Spark.

The role emphasizes collaboration with product managers and engineers, mentoring team members, and delivering end-to-end data solutions that empower financial services for millions of customers.