Capital One is looking to leverage data to unlock value for their clients, customers, and stakeholders within the Card Partnerships line of business. This involves defining, building, and operating a robust Data Product that captures insights, enables personalization, tailors offers, and optimizes credit decisioning. The role aims to enhance reporting capabilities for both internal and external users and manage critical data exchange systems with partners.
Requirements
- AWS (Glue, DynamoDB, Lambda, S3, etc.)
- Python, Java, and Scala for our data pipelines and APIs
- Apache Spark for large-scale data processing
- RESTful APIs, GraphQL, Kafka Streaming, and Batch processing
- At least 7 years of experience in software development
- At least 5 years of experience in people management
- 2+ years of experience building & operating systems in public cloud (e.g. AWS, Azure, etc.)
Responsibilities
- Define, build, and operate a robust Data Product that captures insights from our Partner Clients, enables deeply personalized content, tailors customer offers, and optimizes credit decisioning.
- Build reporting capabilities to service both internal Capital One associates and external employees of partner clients, integrating market-leading BI tooling with in-house technology for a seamless user experience.
- Lead the systems that exchange mission-critical data with our partners, using a combination of real-time APIs, asynchronous streams, and batch files.
- Lead, manage and grow multiple teams of product focused software engineers
- Continuously improve software engineering practices throughout design, development, and testing phases of the SDLC
- Work within and across Agile teams to deliver high-performing software across full-stack development tools and technologies
- Lead the craftsmanship, availability, resilience, and scalability of Partnerships Data solutions
Other
- Work with Product Managers to understand business needs and build delivery roadmaps
- Partner with Architects & Distinguished Engineers to align and build toward target architectures
- Bring a passion to stay on top of tech trends and experiment with and learn new technologies, especially related to Data
- Engage with internal & external technology communities, and mentor other members of the engineering community
- Encourage innovation, use of emerging technologies, teamwork, and diversity of thought
