Lead Data Engineer - Consumer Product & Innovation

Sorry, this job was removed at 10:18 a.m. (CST) on Monday, Feb 17, 2025
United States of America
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role

Job Summary 

We are seeking a highly skilled and motivated Lead Data Engineer to join our data engineering team in Nike’s Consumer Product and Innovation (CP&I) organization. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions. As a Lead Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Advanced Analytics and Business Intelligence initiatives. You will be reporting to the Engineering Director and be part of a team that will be a driving force in building a cross-capability data foundation, defining and implementing data products to deliver data and AI solutions that drive business growth for Nike. 

 

Key Responsibilities 

  • Lead the design, development, and deployment of scalable data pipelines and architectures. 

  • Collaborate with data scientists, engineers, analysts, product managers and business stakeholders to understand data requirements, translate them into technical specifications and deliver data solutions that drive decision-making. 

  • Mentor and provide technical guidance to junior data engineers, fostering a culture of collaboration, innovation, and continuous improvement. 

  • Develop and enforce best practices for data engineering, including coding standards, data governance, and performance optimization. 

  • Communicate complex technical concepts to non-technical stakeholders, ensuring alignment and understanding across teams. 

  • Participate in code reviews, provide feedback, and contribute to continuous improvement of the team's coding practices. 

  • Design, build, and maintain robust ETL/ELT pipelines, reusable components, frameworks, and libraries to process data from a variety of data sources ensuring data quality and consistency. 

  • Monitor and troubleshoot data pipelines, ensuring high availability and performance. 

  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows. 

 

Required Qualifications

Technical Expertise: 

  • Proven experience (5+ years) as a Data Engineer, with a focus on Databricks, PySpark, and SQL. 
  • Strong expertise in Apache Spark and distributed computing frameworks, with hands-on experience optimizing Spark jobs for performance and scalability. 

  • Proficiency in SQL, with the ability to write complex queries and perform data transformations. 

  • Experience with Databricks Lakehouse Platform, Medallion architecture and Delta Lake. 

  • Experience working with AWS including data services such as S3 and RDS. 

  • Experience with data modeling, ETL/ELT processes, and data warehousing concepts. 

  • Experience with CI/CD pipelines, version control (Git), and DevOps practices in a data engineering context. 

Leadership & Collaboration:

  • Strong leadership skills with a proven ability to lead and mentor data engineering teams. 
  • Excellent problem-solving skills and the ability to design solutions for complex data challenges. 

  • Effective communication and collaboration skills, with the ability to work cross-functionally and translate technical concepts for non-technical stakeholders. 

 Education:

  •  Bachelor Degree or a combination of relevant education, training and experience

 

Preferred Qualifications: 

  • Familiarity with real-time data processing frameworks such as Apache Kafka, Kinesis, or similar. 

  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments. 

  • Certification in Databricks (e.g., Databricks Certified Data Engineer, Databricks Certified Developer for Apache Spark). 

 

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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.

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The Company
HQ: Beaverton, OR
73,000 Employees
Year Founded: 1972

What We Do

At NIKE, Inc., we innovate to serve athletes*.

Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it.

Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together.

Take your first step at nike.com/careers

* If you have a body, you’re an athlete.

Why Work With Us

At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.

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