Sr. Director, Data Engineering - Card Data

Capital OneMcLean, NY
9d$280,600 - $384,200

About The Position

Sr. Director, Data Engineering - Card Data Capital One is seeking a Senior Director, Data Engineering to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank’s core profitability and security, this is your team. 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 Sr. 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

Requirements

  • Bachelor’s Degree
  • At least 9 years of experience in software engineering or data engineering
  • At least 7 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)

Nice To Haves

  • 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

Responsibilities

  • 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
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