Capital One Senior Lead Data Engineer 

United States, Virginia, Richmond 

834096834

West Creek 3 (12073), United States of America, Richmond, Virginia Senior Lead Data Engineer

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, itdetest, implement, and support technical solutions in full-stack development tools and technologies

• Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

• Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

• Collaborate with data product managers, and deliver robust cloud-based solutions that drive powerful data experiences

• Develop unit testing guidelines and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

• Mentor and develop engineering associates to help scale data product development and consumption efforts across the Finance organization.

• Develop relationships with key stakeholders, peers in our Enterprise Architecture and Data engineering teams.

• Make and document key modeling principles and provide guidance to help engineering teams establish and design to target.

• Review delivery team designs and assess alignment with target architecture, data strategy and relevant policies

• Own design and data governance decisions in partnership with the Divisional Chief Architect and peer architects.

• Develop standards for publishing, modeling and protecting data

• Own and prioritize the long-term (12-18 months) Data Product delivery roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful

• Understand how ontology and data models fits into the larger ecosystem, anticipating impacts from changes in other parts of the business

• Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers

Basic Qualifications:

• Bachelor’s Degree

• At least 8 years of experience in application development (Internship experience does not apply)

• At least 2 years of experience in big data technologies

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master's Degree

• 9+ years of experience in application development including Python, SQL, Scala, or Java

• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

• 5+ years experience with Distributed data/computing tools (Hadoop, Hive, EMR, Kafka, Spark)

• 4+ year experience working on real-time data and streaming applications

• 4+ years of data warehousing experience (Redshift or Snowflake)

• 4+ years of experience with UNIX/Linux including basic commands and shell scripting

• 2+ years of devops experience

• 2+ years of experience with graphQL experience

• 2+ years of experience with Agile engineering practices

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.