Director, Data Engineering

Capital One

McLean, VA, USA
Mclean, va: $269,100 - $307,200; bonus/equity: per...
Data engineering best practices
Scalable data products and platforms
Modern tech stacks and data platforms
This individual will be accountable to drive a cohesive datamart/aggregation strategy across our org in collaboration with multiple enterprise partners

Job Summary

  • This individual will be accountable to drive a cohesive datamart/aggregation strategy across our org in collaboration with multiple enterprise partners.
  • This individual was also lead creation of modern scalable innovative solutions that simplify our analysts lives and create a self-serve experience.
  • Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.

Matching Summary

This individual will be accountable to drive a cohesive datamart/aggregation strategy across our org in collaboration with multiple enterprise partners.

Salary

McLean, VA: $269,100 - $307,200; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Data Engineering best practices
  • Scalable data products and platforms
  • Modern tech stacks and data platforms
  • Cloud-based data platforms (AWS, Azure, GCP)
  • Big Data and data streaming

Nice-to-have

  • Innovative mind
  • Customer-oriented solutions
  • Iterative methodology
  • Automation, machine learning, predictive analytics
  • DevOps mindset
  • Partnership Attitude
  • Curious, hands-on, roll up your sleeves

Key Requirements

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

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter