Capital One Sr Director Data Engineering 

United States, Virginia, Arlington 

298540538

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 creating market-leading software that integrates 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

Key Responsibilities:

• 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 70+ engineers

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

• Develop data products, platforms, and services that fully enable all customers of the data ecosystem to deliver the business strategy and performance objectives, unleashing the full power of data for their business

• Built modern data stacks from the ground up and managed them in production at 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

Basic Qualifications:

• Bachelor’s Degree

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

• At least 7 years of people management experience

Preferred Qualifications:

• 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 Data consumption, management or governance.

• 5+ years of experience leading multi-functional data engineering teams

• 5+ years of experience with Spark, Snowflake, or Flink

• 5+ years of experiencewith data orchestration tools

• 5+ years of experience with data lineage, data quality, and data observability

• 5+ years of experience with data ingestion tools

• 5+ years of experience with data pipeline and transforms tools

• 5+ years of experience with full stack development

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