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Capital One

Director, Data Engineering

On site

Phila, United states

Senior

Full Time

22-12-2025

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Skills

Go Big Data Data Warehousing Data Governance Data Engineering DevOps Test Architecture Data Architecture Machine Learning Organization Analytical Skills Azure AWS Google Cloud Platform Agile Analytics Full-Stack Development Microsoft Azure

Job Specifications

Director, Data Engineering

Capital One is seeking a Director of Data Engineering to work in our Card Data Engineering and Analytics organization. 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. This role will build teams to deliver highly performant and scalable data products and platforms to drive consumption of data from our enterprise data ecosystem, while driving data engineering best practices. This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. 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 analytic s.

This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. 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.

Our Directors Are: Technologists: Strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions - will have a DevOps mindset

Effective Communicators: Excellent listener; proven collaborator with senior leaders, peers and staff

Partnership Attitude: Have the competencies to build very strong partnerships with other technology leaders that enable your team's ability to stay on the leading edge of industry solutions

Curious: Hands-on, "roll up your sleeves" collaborative style of working

Passionate: Bring energy and enthusiasm to the job and organization

Bold: History of taking smart, calculated risks and aggressively leading through change

Achievers: Consistently attain/exceed individual and team goals

You Will: Lead, manage, and grow multiple teams of product focused software & data engineers

Embrace and incubate emerging technology and open-source products across all platforms

Work to modernize our existing tech stacks and data platforms

Collaborate with internal teams to find areas of opportunities for automation and machine learning

Partner with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications

Work within and across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies

Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications

Conduct design and code review to ensure compliance with standards

Basic Qualifications: Bachelor's Degree

At least 7 years of experience in software engineering or data engineering

At least 5 years of people management experience

At least 3 years of experience with Big Data and data streaming

At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

Preferred Qualifications: Master's Degree

10+ years of experience in software engineering or data engineering

5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling

3+ years experience creating and maturing a Data Architecture function

3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools

3+ years of experience with AWS

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum Full time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Richmond, VA: $239,900 - $273,800 for Director, Data Engineering

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and

About the Company

At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper. Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a sup... Know more