✦ Luna Orbit — Executive & General Management

Director, Data Engineering

at Discover Financial Services

📍 McLean, VA Unknown 💰 $269K – $307K USD / year Posted April 17, 2026
Salary $269K – $307K USD / year
Type Full-Time
Experience executive
Exp. Years Not specified
Education Not specified
Category Executive & General Management

The Director of Data Engineering leads and manages multiple teams to modernize and scale data platforms and deliver a cohesive datamart/aggregation strategy. The role drives best practices and builds automated, high-performing data products that improve self-serve analytics for enterprise stakeholders.

  • Lead, manage, and grow multiple teams of product focused software & data engineers
  • Drive a cohesive datamart/aggregation strategy across the org
  • Build high-performing, scalable data products and platforms using data engineering best practices
  • Embrace emerging technology and open-source products across all platforms
  • Collaborate with architects, product owners, and data professionals to implement new applications

This leadership position focuses on building scalable data products and platforms across an enterprise data ecosystem, including automation, machine learning, and predictive analytics. It also emphasizes modernizing existing technology stacks and operating within Agile teams and iterative methodologies with a DevOps mindset.

The ideal candidate is an experienced Director of Data Engineering who can lead multiple teams of software and data engineers and drive a cohesive datamart/aggregation strategy across an enterprise data ecosystem. They bring strong delivery experience modernizing tech stacks and building scalable data products using automation, machine learning, and predictive analytics within Agile, iterative methodologies.

Leadmanageand grow multiple teams of product focused software & data engineersDrive a cohesive datamart/aggregation strategy across the orgBuild teams to deliver highly performant and scalable data products and platformsDrive data engineering best practicesWork within and across Agile teamsSuccess requires iterative methodology and customer value delivery through automationmachine learning and predictive analytics
datamart/aggregation strategydata engineering best practicesautomationmachine learningpredictive analyticsDevOps mindsetopen-source productsAgile teamsiterative methodologymodernize tech stacksscalable data products and platformsteam leadership
datamart/aggregation strategyenterprise data ecosystemmodern scalable solutionsdata products and platformsdata engineering best practicesbuilding teams to deliver highly performant and scalable data productsautomationmachine learningpredictive analyticsDevOps mindsetopen-source productsmodernize tech stacksdata platforms modernizationAgile teamsdata engineeringsoftware engineeringcollaboration with architectscollaboration with product ownerscollaboration with data professionalsiterative methodologyrecruiting and attracting talent
leadmanageand grow multiple teamsattract and recruit talentexcellent listeningcollaboration with senior leaderspeers and staffpartnership attitudehands-on roll up your sleevesenergy and enthusiasmaggressively leading through changehistory of taking smartcalculated risksattain/exceed individual and team goalsstrong partnership building
Industry Banking
Job Function Direct data engineering strategy and execution to deliver scalable data platforms and automated analytics capabilities.
Role Subtype Director of IT
Tech Domains Amazon Web Services, Python, SQL / PostgreSQL, Docker, Kubernetes
DirectorData Engineeringdata engineering best practicesdatamart/aggregation strategyenterprise data ecosystemmodern scalabledata productsdata platformshighly performant and scalableautomationmachine learningpredictive analyticsDevOps mindsetopen-source productsmodernize our existing tech stacksAgileAgile teamsiterative methodologyrecruitattract and recruitdata engineering

Director-level responsibility to lead and grow multiple teams (must be able to manage multiple teams), Ability to drive datamart/aggregation strategy across the organization, Work within Agile teams and deliver iterative, customer-oriented data products

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