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R145047 Posted 05/24/2022

Distinguished Engineer, Data Strategy (Remote Eligible)

McLean, Virginia | Chicago, Illinois | Richmond, Virginia | Plano, Texas | Atlanta, Georgia | New York, New York | Boston, Massachusetts
  • Category Engineering
  • Experience Director
  • Primary Address McLean, Virginia

Overview

Locations: VA - McLean, United States of America, McLean, Virginia

Distinguished Engineer, Data Strategy (Remote Eligible)

Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.

  • Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices

  • Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates

  • Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

  • Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities

Responsibilities:

  • Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in

  • Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team

  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible

  • Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization

  • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner

  • Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent

The individual in this role will function as a senior Data Strategist, who will have visibility at the highest levels and lead a body of work that will have broad impacts for customers across Capital One. This is an opportunity that will focus on driving innovation through data and AI/ML. Distinguished Engineers at Capital One are at the forefront of thought leadership with both deep technical knowledge and strong influencing skills. They drive initiatives across organizational boundaries, which lead to strategic technical outcomes. 

The person we’re looking for:

  • Is passionate about data, machine learning, and artificial intelligence

  • Has depth and breadth of knowledge across multiple data engineering disciplines to include search engines, time series, graph, and relational data stores

  • Has extensive experience with data modeling and database design using ontologies and entity classifications

  • Is a pathfinder able to lead a strategic body of work across organizational boundaries

  • Leverages Cloud Native solutions equipped with enterprise grade testing, resiliency, monitoring, documentation, and performance. 

  • Has ability to build consensus and iteratively improve solutions

  • Firmly believes in leading and adding value through influence

Capital One is open to hiring a Remote Employee for this opportunity.

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience with enterprise architecture, software architecture, and database design patterns

  • At least 5  years of experience creating data strategies for operational, analytical, and machine learning needs 

Preferred Qualifications:

  • Master’s Degree 

  • 5+  years of experience of working with business leaders on the implications of architectural decisions 

  • 9+ years of experience working with executive stakeholders

  • 3+ years of experience advancing machine learning initiatives with technologies like Neo4j, Neptune, Elastic, MemSQL, Cassandra, or ML DB

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

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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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).

Hiring Process
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  • Step 2 Screen and Schedule

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  • Step 4 Decision

    The team will discuss — if it’s a good fit for us and you, we’ll make it official!

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