✦ Luna Orbit — Executive & General Management

Director, Data Engineering

at Capital One Financial

📍 McLean, VA Unknown 💰 $269K – $307K USD / year Posted April 15, 2026
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Position Details

Salary $269K – $307K USD / year
Type Full-Time
Experience executive
Exp. Years Not specified
Education Not specified
Category Executive & General Management

About this role

Capital One is seeking a Director of Data Engineering to lead the strategy and execution of scalable datamarts, data aggregations, and data platforms for its Card Data Engineering and Analytics organization. The role leads multiple teams of software and data engineers, modernizes technology stacks, and delivers self-serve experiences for analysts using automation, machine learning, and predictive analytics.

Key Responsibilities

  • Lead, manage, and grow multiple teams of product focused software & data engineers
  • Drive a cohesive datamart/aggregation strategy across the organization
  • Build scalable data products and platforms to support enterprise data ecosystem consumption
  • Modernize existing tech stacks and data platforms
  • Collaborate with architects and product owners to implement new applications and automation/machine learning opportunities

Technical Overview

The director will drive a cohesive datamart/aggregation strategy and build performant, scalable data products and platforms grounded in data engineering best practices. They will use an iterative methodology within Agile teams, bring a DevOps mindset, and collaborate across enterprise partners to implement automation, machine learning, and predictive analytics capabilities.

Ideal Candidate

The ideal candidate is a Director of Data Engineering who has led multiple teams delivering scalable data products and platforms. They bring strong expertise in datamart/aggregation strategy, data engineering best practices, and modernizing tech stacks, with hands-on technical leadership including a DevOps mindset. They also have a proven track record of delivering customer value through automation, machine learning, and predictive analytics in an Agile, iterative environment.

Must-Have Skills

datamart/aggregation strategydata engineering best practicesleadmanageand grow multiple teams of product focused software & data engineersproven track record of delivering next generation software and data productsrigorous analytical skillsability to attract and recruit the industry's best talentability to build compellingcustomer-oriented solutions in an iterative methodology

Nice-to-Have Skills

Embrace and incubate emerging technology and open-source products across all platformsWork to modernize our existing tech stacks and data platforms

Tools & Platforms

open-source productsAgile teams

Required Skills

datamart/aggregation strategydata productsdata platformsdata engineering best practicesDevOps mindsetautomationmachine learningpredictive analyticsAgileopen-source productsmodernize tech stacksiterative methodology

Hard Skills

datamart/aggregation strategydata productsdata platformsdata engineering best practicesDevOps mindsetmodernize tech stacksdistributed solutionsautomationmachine learningpredictive analyticsAgile

Soft Skills

attract and recruit the industry's best talentleadmanageand grow multiple teamscollaboration with enterprise partnerseffective communicationproven collaborator with senior leaderspeers and staffbuild strong partnerships with other technology leadershands-onroll up your sleeves collaborative styleinnovationcustomer-oriented solution deliveryiterative methodologyaggressively leading through changerigorous analytical skillsfocus on delivering customer value

Industry & Role

Industry Banking
Job Function Direct data engineering strategy and team delivery for scalable, modern data products and platforms.
Role Subtype General Manager
Tech Domains DevOps & SRE, AI & Machine Learning

Keywords for Your Resume

Director of Data EngineeringDirectorData Engineeringdatamart/aggregation strategydata productsdata platformsdata engineering best practicesDevOps mindsetautomationmachine learningpredictive analyticsAgileopen-source productsmodernizeiterative methodologyteam leadershiprecruit the industry's best talentcollaboration with enterprise partners

Deal Breakers

Must have ability to attract and recruit the industry's best talent, Must have proven track record delivering next generation software and data products, Must demonstrate rigorous analytical skills and passion for customer value through automation, machine learning and predictive analytics

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