Distinguished Data Architect – Senior Director-R89644

Capital One
January 29, 2020
McLean, Virginia
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Distinguished Data Architect - Senior 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.

Distinguished Architects are...

  • Deep technical experts, senior-level individual contributors and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
  • Visionaries, helping solve  Capital One’s toughest technology challenges, to deliver on business needs that directly impact the lives of millions 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
  • Leaders who gain the trust and confidence of those around them, from hands on engineers to executives

Whether a member of our engineering or architecture teams, Distinguished Architect 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. S/He will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.


  • Design and develop cutting-edge data solutions, using existing and emerging technology platforms
  • 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 and drive adoption of modern data technologies and data architecture patterns, sharing customer 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 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 a specific technology, platform or capability domain, helping to shape use cases and implementation in an integrated manner
  • Function as a hands-on contributor of data related tasks in complex projects
  • Provide subject matter expertise for data management and modeling challenges
  • Evaluate and implement tools and strategies for databases, ETL, MDM, reporting and analytics
  • Envision next generation data platform that will deliver rich, data-driven innovations for the enterprise
  • Partner with all enterprise application development teams to design, model, and implement data requirements
  • Operate in a cutting edge cloud-native, microservices-driven architecture

Basic Qualifications:

  • Bachelor’s Degree
  • At least 10 years’ of enterprise data architecture experience
  • 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
  • At least 3 years working with high-availability systems

Preferred Qualifications:

  • Masters’ Degree or higher in computer science or a related field
  • 12+ years of building large scale data systems
  • 7+ years of building web APIs for high-throughput systems
  • 5+ years of influencing leadership in the fields of database, data warehousing or data sciences
  • 5+ years of using AWS ecosystem tools
  • 3+ years of Apache Spark or Hadoop and data analytics ecosystem relevant tools (Sqoop, Flume, Kinesis, Kafka, Oozie, Hue, Zookeeper, Ranger, Elasticsearch, and Avro)
  • 2+ years of building microservices deployed as containers, preferably on Kubernetes

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

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