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Capital One is seeking a Senior Director, Data Engineering to work on a large integration project within our Card Technology organization.. This individual will be accountable to drive a cohesive data strategy across multiple data environments in collaboration with multiple organizational partners.. This role will build teams to deliver highly performant and scalable data products and platforms to drive consumption of data from our enterprise data ecosystem, while driving data engineering best practices.. 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.. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

data engineering

Center 1 (19052), United States of America, McLean, Virginia Sr. Director, Data Engineering - Card Technology Capital One is seeking a Senior Director, Data Engineering to work on a large integration project within our Card Technology organization. This individual will be accountable to drive a cohesive data strategy across multiple data environments in collaboration with multiple organizational partners. This role will build teams to deliver highly performant and scalable data 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 Senior Directors Are <ul><li>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</li><li>Strategic thinkers: Ability to absorb the big picture and develop a vision to rationalize and simplify complex data environments.</li><li>Effective Communicators: Excellent listener; proven collaborator with senior leaders, peers and staff</li><li>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</li><li>Curious: Hands-on, "roll up your sleeves" collaborative style of working</li><li>Passionate: Bring energy and enthusiasm to the job and organization</li><li>Bold: History of taking smart, calculated risks and aggressively leading through change</li><li>Achievers: Consistently attain/exceed individual and team goals </li></ul>You Will <ul><li>Lead, manage, and grow multiple teams of product focused software & data engineers</li><li>Embrace and incubate emerging technology and open-source products across all platforms</li><li>Work to modernize our existing tech stacks and data platforms</li><li>Collaborate with internal teams to find areas of opportunities for automation and machine learning</li><li>Partner with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications</li><li>Work within and across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies</li><li>Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications</li><li>Conduct design and code review to ensure compliance with standards </li></ul>Basic Qualifications <ul><li>Bachelor's Degree</li><li>At least 7 years of people management experience</li><li>At least 9 years of experience in data engineering</li><li>At least 3 years of experience with batch processing, Big Data technologies, and data analytics</li><li>At least 3 years of experience with cloud-based data platforms </li></ul>Preferred Qualifications <ul><li>Master's Degree</li><li>10+ years of experience in data engineering</li><li>5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling</li><li>3+ years experience with creating and maturing a Data Architecture function</li><li>3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools</li><li>3+ years of experience with AWS </li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. 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; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). SimplyApply

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