Distinguished Engineer - Enterprise Data Storage and Consumption

Distinguished Engineer - Enterprise Data Storage and Consumption

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.

You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across

organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key responsibilities:

• Define and champion the strategic roadmap for the adoption, governance, and cost-optimization of the data ecosystem leveraging Databricks and Snowflake on the AWS cloud.
• Lead the design and implementation of highly scalable, fault-tolerant, and cost-effective data architectures that seamlessly integrate Databricks (for complex processing/ML) and Snowflake (for warehousing/BI).
• Serve as the primary technical authority for data security and governance best practices within Databricks and Snowflake, ensuring integration with core AWS security services (e.g., IAM, KMS).
• Drive performance engineering and optimization for large-scale data ingestion and processing workloads across the Databricks/Snowflake/AWS data pipeline.
• Mentor engineering teams on the advanced features, architecture, and cost-efficient usage of Databricks, Snowflake, and related AWS services.
• Articulate and evangelize a bold technical vision for your domain
• Decompose complex problems into practical and operational solutions
• Ensure the quality of technical design and implementation
• Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
• Continue learning and injecting advanced technical knowledge into our community
• Handle several projects simultaneously, balancing your time to maximize impact
• Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
• Ensure Code is of the highest quality & standard while being an active contributor and reviewer on critical repos of the application
• Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility

Basic Qualifications:

• Bachelor's Degree
• At least 7 years of experience in Software engineering and solution architecture
• At least 7 years of experience in Enterprise architecture and design patterns
• At least 5 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)
• At least 5 years of experience in Security engineering and architecture
• At least 5 years of experience in Data architecture including Event Driven and Real-Time architectures

Preferred Qualifications:

• Bachelor's or Master's Degree in Computer Science or a related field.
• 10+ years of hands-on experience developing and…