Sr. Director Software Engineering

Capital One is seeking a Sr. Director of Data Engineering to work in our Enterprise Data and Machine Learning Organization. This individual will specifically be leading teams delivering and expanding highly performant and scalable data products and platforms to drive consumption of data from our enterprise data ecosystem, while driving data engineering best practices. The candidate will also be responsible for designing new solutions to ensure that Capital One is able to increasingly innovate with its data assets. 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

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 10 years experience in data engineering

• At least 8 years of experience managing software or data engineering teams

• At least 4 years of experience with Big Data and data streaming

• At least 4 years of experience with cloud based data platforms and managed services

• At least 4 years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.

Preferred Qualifications:

• Master's Degree

• 15+ years of experience in data engineering

• 10+ years of experience managing software and data engineering teams

• 4+ years of experience with AWS

• 3+ years of experience building and shipping enterprise grade global products in a SaaS organization.

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

Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.

All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, national origin, sexual orientation, protected veteran status, or disability status.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.