Distinguished Data Engineer

Distinguished Data Engineer 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. About the Team: You will join the Data Pipelines team within Enterprise Data, serving as a Director-level Individual Contributor (IC). This role demands a visionary and hands-on technical leader to drive the technical strategy for data pipelines leveraged by all lines of business inclusive of both internal and external data availability. Your focus is on driving innovation, best practices, engineering / delivery acceleration, platform scalability, Operational Excellence, Performance, Resiliency, and being a beacon for other ICs. We require deep expertise in AWS infrastructure, Lakehouse architecture, Kafka, Flink, Spark, Airflow, Snowflake, and Databricks to evolve and mature these enterprise-scale systems and execute technical strategy. You will be both visionary, influential, and hands-on writing Python, SQL, Java, or Scala code. Our Distinguished Engineers Are: Deep technical experts and thought leaders that [... source excerpt omitted ...] edge 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 benefit [... source excerpt omitted ...] ied 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 9 years of experience in data engineering At least 5 years of experience in data architecture At least 3 years of experience building applications in AWS At least 3 years of Python, Scala, Java, or SQL At least 3 years of Flink or Spark At least 3 years of Kafka At least 3 years of Delta Lake or Iceberg At least 3 years of building highly performant, highly resilient Big Data solutions Preferred Qualifications: Masters’ Degree 10+ years of experience in d