Distinguished Data Architect – Director-R89878

Capital One
January 29, 2020
McLean, Virginia
Job Type
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Distinguished Data Architect - Director

At Capital One, we believe in the values of Excellence and Doing the Right Thing. We are a technology-oriented company delivering financial products to market through modern technology and constant innovation at a massive scale.

We are looking for Distinguished Engineers who are passionate and self motivated. Ideal candidates bring strong engineering excellence and are

  • 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
  • Supporters, 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
  • Technical leaders who gain the trust and confidence of those around them, from hands on engineers to executives
  • Engineering leaders who are customer focussed, decisive, understand priorities, maintains humility, and values feedback.

Whether a member of our engineering or architecture teams, Distinguished Engineers are individual contributors expected to solve problems in a fast-paced, collaborative, and iterative delivery environment. In order to meet these demands, candidates should be influential engineering leaders with deep technology expertise, and a collaborative style that brings others into the decision-making process. The candidate will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.


  • Leverage sound judgment and problem solving to tackle some of Capital One’s most critical problems and connect the dots to broader implications of the work
  • Build awareness, increase knowledge sharing and drive adoption of modern technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in
  • Promote a culture of engineering excellence and being well-managed, 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 data transformation and machine learning ecosystem, helping to shape use cases and implementation in an integrated manner
  • Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle
  • 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
  • Work across multiple lines of business, partnering with other architects
  • Bring in a larger context to 100+ software teams across multiple lines of business and guide their architecture evolution in response to business changes

Basic Qualifications:

  • Bachelor’s Degree
  • At least 8 years of enterprise data architecture experience
  • At least 8 years of experience with architectural patterns, building APIs, microservices, event streams, and high throughput systems
  • At least 5  years working with data tools MongoDB, Hadoop, Cassandra, Spark or NoSQL
  • At least 5 years of public cloud (AWS, Azure, or GCP), ETL tools, and metadata repositories

Preferred Qualifications:

  • Masters’ Degree or higher in Computer Science or a related field
  • 10+ years in software development, solutions architecture, or architect roles
  • 10+ years of experience in designing, developing, and architecting enterprise data systems
  • 10+ years with distributed data management, data storage including databases (Relational, NoSQL), data analysis, data processing, data transformation, high availability, and scalability
  • 5+ years driving big data initiatives and navigating complex big data challenges Has a strong understanding of the big data landscape
  • 5+ years as a big data specialist working in and with data lakes, data warehouses, streaming platforms, and cloud platforms
  • 2+ years in data mining, machine learning, and data science

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

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