Capital One Sr Distinguished Data Engineer Eligible 

United States, Virginia, Arlington 

240187775

As a Senior Distinguished Engineer, you will be a visionary leader driving the strategy, design, and development of scalable data products, modeling and enterprise-grade data catalogs. You will work closely with engineering, architecture and business teams to create innovative solutions that enhance data discoverability, governance and usability across the organization. Your role includes setting technical direction, mentoring engineering teams, and influencing enterprise-wide data architecture strategies to ensure alignment with organizational goals. This position requires deep expertise in data systems, metadata management, and cloud-based platforms, as well as a passion for fostering a culture of technical excellence & innovation. A few bullet points that describe this role include (but are not limited to):

• 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

Senior DEs 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

• 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:

• Play a pivotal role in setting the roadmap and overseeing the day-to-day management of our Data Product & Catalog platforms including: setting strategies and overseeing platform engineering in public cloud (AWS), cloud resource provisioning, ensuring low latency, high availability of cloud resources, cloud optimization, etc.

• Implement robust processes and operations dashboard to monitor platform performance, user feedback, and adherence to service level agreements (SLAs), observability, resiliency, and key operational metrics in real time.

• Collaborate with cyber, technology risk management, security and compliance teams to understand the company cyber, risk and compliance requirements. Work closely with product and engineering to ensure the platform adheres to industry best practices, corporate cyber and tech risk management standards

• Work closely with executive leadership to develop a long-term vision and roadmap for the platform operations enhancements

Basic Qualifications:

• Bachelor’s Degree

• At least 9 years of experience managing Platform, infrastructure operations or Data Engineering.

• At least 5 years’ experience with public cloud technologies

Preferred Qualifications:

• Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics)

• 5+ years of experience in managing large-scale, high-performance, distributed systems as a Site Reliability Engineer or a product engineer

• 5+ years years experience in setting up and scaling observability platform, providing monitoring and telemetry support and creating Operational health dashboards

• 3+ years experience in building systems and solutions within a regulated environment

• 3+ years of experience in Artificial Intelligence, Machine Learning or Cloud infrastructure

• 3+ years experience with managing distributed systems, multi-tenant, micro services, and container orchestration (Kubernetes)

• Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure or platforms

• 5+ years of experience with machine learning lifecycle(building, training models, serving models, setting up cloud infrastructure or data pipelines) and familiarity with major Machine Learning frameworks