✦ Luna Orbit — Data & Analytics

Senior Manager, Data Engineering (Enterprise Platforms Technology)

at Capital One Financial

📍 McLean, VA Unknown 💰 $229K – $262K USD / year Posted March 27, 2026
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Position Details

Salary $229K – $262K USD / year
Type Full-Time
Experience lead
Exp. Years 6+ years
Education Bachelor's in Computer Science or related field
Category Data & Analytics

About this role

This leadership role involves managing data engineering teams, developing AI-enabled data pipelines, and ensuring enterprise data governance in a cloud environment.

Key Responsibilities

  • Lead data engineering teams
  • Develop AI-driven data pipelines
  • Ensure data governance
  • Support enterprise data initiatives
  • Mentor junior staff

Technical Overview

The environment includes Python, SQL, Snowflake, Databricks, AWS, Spark, Kafka, DynamoDB, and GenAI, focusing on scalable, AI-integrated data solutions and team leadership.

Ideal Candidate

The ideal candidate is a senior data engineer with leadership experience, over 6 years in data pipeline development, cloud platforms like AWS and Snowflake, and AI technologies such as GenAI. They should excel in mentoring teams and driving data governance initiatives.

Must-Have Skills

PythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaDynamoDBData pipelinesData modelingData qualityData governance

Nice-to-Have Skills

SparkKafkaDynamoDBGenAIOpen Source RDBMSNoSQLCloud computing

Tools & Platforms

SnowflakeDatabricksAWSAmazon Web ServicesKafkaDynamoDB

Required Skills

PythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaDynamoDBGenAIData pipelinesData modelingData qualityData governanceOpen Source RDBMSNoSQL

Hard Skills

PythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaDynamoDBGenAIData pipelinesData modelingData qualityData governanceOpen Source RDBMSNoSQL

Soft Skills

collaborativeproblem-solvingcommunicationmentoringteamworkleadership

Industry & Role

Industry Financial Services / Banking / Fintech
Job Function Lead enterprise data engineering and AI integration
Role Subtype Data Engineer
Tech Domains Python, SQL / PostgreSQL, Amazon Web Services, Snowflake, Databricks, Apache Spark, Kafka, DynamoDB, GenAI

Keywords for Your Resume

Data EngineerPythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaDynamoDBGenAIData pipelinesData modelingData qualityData governancedata engineerpythonsqlsnowflakedatabricksawsamazon web servicessparkkafkadynamodbgenai

Deal Breakers

Less than 6 years of experience, No leadership or management experience, Lack of expertise in AWS or Snowflake, Bachelor's degree not in a related field

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