Capital One is looking to solve challenges in advancing data observability, the Spend Data Product, data standardization, and core data pipelines that power authorization processing and decisioning for Card authorizations.
Requirements
- 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
- 3+ years of data modeling experience
- 2+ years of experience with ontology standards for defining a domain
- 2+ years of experience using Python, SQL or Scala
- 3+ years of experience implementing big data processing solutions on AWS (S3, DynamoDB, Lambda, Glue, Flink)
Responsibilities
- Architectural design and technical patterns that enable a high-performing, reliable data platform for Card authorizations.
- Advancing data observably, the Spend Data Product, data standardization, and the core data pipelines that power authorization processing and decisioning.
- Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
- Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
- Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
- Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent
- Be hands-on, partnering closely with engineering teams and authorization's partners to help drive work forward.
Other
- 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
- 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
