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

Serve as a change agent, driving our data strategy and capabilities forward to deliver trusted, well managed quality data experiences for all data stewards and stakeholders

Focus on building leading-edge capabilities in support of ensuring world-class experiences for data producers and consumers with enterprise platforms

Partner with Product and Design teams to strategize and build leading technology solutions 

Stay abreast of emerging technologies and market trends in data, applying learnings to improve our business and customer experience

Drive a forward-looking data strategy that can realize long-term and commercial objectives

Lead a data organization of approximately 36+ engineers

Commitment to high-quality delivery, engineering excellence, and uncompromising operations

Able to continuously optimize for cost and performance

Ensure the durability of a modern data stacks at Enterprise scale

Successfully manage an engaged and sophisticated set of business and technology customers who possess a strong understanding of and high expectations regarding data

As a transformational leader, recruit, nurture and retain top talent, building a world-class engineering team within the enterprise technology organization

Serve as an inspiring role model, a leader the team wants to emulate

Motivate a highly talented next level of leaders, ensuring succession as well as their own people development objectives

Drive the team to understand, challenge and improve the technologies through which Capital One leverages data and predictive analytics

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

Establish a trusted, close touch relationship with divisional data leaders

Bachelor’s Degree 

At least 9 years of experience in software engineering or data engineering

At least 7 years of people management experience

Master’s Degree

Experience managing the tech strategy for an organization’s product

5+ years of experience in AWS or public-cloud technologies.

5+ years of experience in building or managing large scale data consumption, management or governance.

5+ years of experience leading multi-functional data engineering teams and full stack teams

5+ years of experience with Spark or other big data processing technologies

5+ years experience with Python and/or Java

5+ years of experience with full stack development with a focus on data applications

5+ years of experience with running high-availability, highly resilient platforms