Sr. Director, Data Engineering

Capital One

McLean, VA, USA
Mclean, va: $314,800 - $359,300; plano, tx: $286,2...
Not specified
Modernize architecture
Scalable data products
Ai and creative technologies
Capital One is seeking a Sr. Director of Data Engineering to lead the CORE organization in modernizing data architecture and driving insights through scalable data products. The ideal candidate will have extensive experience in software and data engineering, strong leadership skills, and a passion for automation and data governance

Job Summary

  • You will spearhead the strategy to modernize our architecture through the delivery of scalable data products, leveraging AI and creative technologies to automate hygiene and governance.
  • Your goal is to eliminate the manual wrangling traditionally required by our technologists, shifting their focus from data discovery to rapid insight generation.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

Match Score: 85

Capital One is seeking a Sr. Director of Data Engineering to lead the CORE organization in modernizing data architecture and driving insights through scalable data products. The ideal candidate will have extensive experience in software and data engineering, strong leadership skills, and a passion for automation and data governance.

Salary

McLean, VA: $314,800 - $359,300; Plano, TX: $286,200 - $326,700; Richmond, VA: $286,200 - $326,700; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • modernize architecture
  • scalable data products
  • AI and creative technologies
  • automate hygiene and governance
  • customer-oriented solutions
  • iterative methodology
  • DevOps mindset

Nice-to-have

  • innovative mind
  • rigorous analytical skills
  • passion for delivering customer value
  • collaboration with senior leaders
  • partnership attitude
  • hands-on, roll up your sleeves style
  • take smart, calculated risks

Key Requirements

  • Bachelor’s Degree
  • 9+ years software/data engineering
  • 7+ years people management
  • 3+ years Big Data/data streaming
  • 3+ years cloud-based data platforms
  • 10+ years software/data engineering
  • 5+ years Data Governance/Modeling
  • 3+ years Data Architecture function
  • 3+ years Data Lake/Warehousing/Analytics
  • 3+ years AWS experience

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter