Lead Data Engineer

Lead Data Engineer - NIKE USA Inc. - Atlanta, GA. Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology; contribute to overall architecture, frameworks and patterns for processing and storing large data volumes; evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing; drive the implementation of new data projects and the optimization of existing solutions; translate product backlog items into engineering designs and logical units of work; profile and analyze data for the purpose of designing scalable solutions; define and apply appropriate data acquisition and consumption strategies for given technical scenarios; design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem; build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns; implement complex automated routines using workflow orchestration tools; drive collaborative reviews of designs, code, and test plans; work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering standard methodologies are defined and followed; anticipate, identify and tackle issues concerning data management to improve data quality; build and incorporate automated unit tests and participate in integration testing efforts; utilize and advance continuous integration and deployment frameworks; solve complex data issues and perform root cause analysis; collaborate closely with Product team counterparts; work across teams to resolve operational & performance issues; provide work estimates and represent work progress and challenges; identify and remove technical bottlenecks for your engineering squad; and provide leadership, guidance and mentorship to other data engineers. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV. 

Must have a Bachelor’s degree in Computer Science, Engineering, Information Technology and five (5) years of progressive post-baccalaureate experience in the job offered or in a engineering-related occupation. Experience must include: 

• Big data system design; 

• SQL; 

• Spark; 

• Airflow 

• Python 

• Kafka 

• Change Data Capture implementation 

• Data Modeling 

• Data Architecture 

• Data Pipeline design 

• Spark Optimization 

• Data Security 

• Continuous Integration and Continuous Deployment 

• Data Quality framework 

• Data Observability 

Apply at  www.Nike.com/Careers (Job # R-60196) 

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We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.