Capital One Director Data Engineering 

United States, Virginia, Arlington 

832806781

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