Director, Data Engineering

Capital One is seeking a Director of Data Engineering to work in our Enterprise Data organization. This individual will be accountable to drive a cohesive data strategy across Enterprise Data  in collaboration with multiple enterprise partners. This role will build teams to deliver highly performant and scalable data and fraud 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 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 5 years of people management experience

• At least 7 year of software engineering or data engineering experience

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

• At least 3 years of experience with cloud-based data platforms

Preferred Qualifications

• Master’s Degree

• 7+ years of experience in data engineering

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

• 3+ years of experience with AWS

• 3+ years of Real Time and Batch Data Pipelines

• 3+ years of Petabyte Scale

• 3+ years of sub-100ms real-time data availability

• 3+ years of Spark

• 3+ years of Flink

• 3+ years of Kafka

• 3+ years of Data Pipeline Orchestration

• 3+ years of Data Observability

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