Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.

Horzianal, Bank data organization to accelerate data modernization across the bank by defining, building, and operating on a unified, resilient, and compliant Enterprise Data Platforms. Enable bank domains to produce and leverage modern data for a modern bank. The position focused on setting the technical vision, prototyping and driving the most complex data domain data architecture for the banking domains. In addition, partner closely with enterprise teams to develop highly  resilient data platforms.

• 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:

• Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in

• 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

• Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible

• Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization

• 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

Basic Qualifications:

• 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 

Preferred Qualifications:

• Masters’ Degree

• 9+ years of experience in data engineering

• 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

• 1+ year of experience deploying machine learning models

• 3+ years of experience implementing big data processing solutions on AWS

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.