Distinguished Engineer driving design and architecture of mission-critical Data Platforms at Capital One. Leading technical strategies to enhance data discovery and governance for enterprise-wide AI readiness.
Responsibilities
Work with our Enterprise Data Platform team to drive design and architecture of Capital One’s mission critical Data Platforms
Define and execute a bold technical strategy for a unified Data Product architecture, engineering high-scale solutions for standardized, well-governed data creation
Transform how the organization discovers and consumes data, turning fragmented datasets into high-fidelity, machine-ready assets
Act as the bridge between deep engineering and business impact, institutionalizing and driving the adoption of rigorous data standardization practices
Design resilient, multi-tenant distributed systems and event-driven patterns that redefine enterprise scale
Build proof-of-concepts and exploratory analyses that bridge the gap between abstract tech strategy and mission-critical solutions
Mentor the next generation of world-class engineers and champion a culture of inclusive excellence and inner-sourcing
Requirements
Bachelor’s Degree
At least 7 years of experience in data engineering
At least 3 years of experience in data architecture
At least 2 years of experience building applications in AWS
Masters’ Degree (preferred)
9+ years of experience in data engineering (preferred)
3+ years of data modeling experience (preferred)
2+ years of experience with ontology standards for defining a domain (preferred)
2+ years of experience using Python, SQL or Scala (preferred)
1+ year of experience deploying machine learning models (preferred)
3+ years of experience implementing big data processing solutions on AWS (preferred)
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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