Data Engineering Lead, Cloud Data Architecture

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

Job summary

Capital One seeks a Manager of Data Engineering focused on modeling and architecture to drive a cloud-first data strategy. You will collaborate with Agile teams to design, develop, test, and support end-to-end data solutions including lakehouse architectures and modern data platforms.

The role requires 4+ years in data engineering, strong SQL, Python or Scala, and experience with data modeling. You will mentor peers and influence data strategy across multiple teams.

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field.
• At least 4 years of experience in application development.
• At least 2 years of experience in distributed data.
• At least 2 years of experience with SQL.
• At least 2 years of experience with one programming language (Python, Java, or Scala).
• At least 2 years of experience in data pipeline design and development.
• At least 1 year of experience in data modeling and designing end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Lead a team of developers, data analysts, and data scientists on data projects.
• Build cloud-first data solutions and data pipelines with scalability and security.
• Architect common data engineering patterns across platforms for maintainability.
• Communicate data outcomes clearly to stakeholders and drive alignment.

Skills

Python

SQL

Spark

Data modeling

Cloud data warehousing

Education

Bachelor's degree or higher in Computer Science or related quantitative field

Tools

Databricks

Snowflake

EMR / Spark

Airflow

Job description

Capital One seeks a Manager of Data Engineering focused on modeling and architecture to drive a cloud-first data strategy. You will collaborate with Agile teams to design, develop, test, and support end-to-end data solutions including lakehouse architectures and modern data platforms.

The role requires 4+ years in data engineering, strong SQL, Python or Scala, and experience with data modeling. You will mentor peers and influence data strategy across multiple teams.