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Analytics Tech Lead – Nike Technology 778 views

Job description

At Nike, we serve athletes. Fueled by the insights of the world’s best, we design and create products to elevate human potential on a global scale. As a Technology Lead for North America Data Engineering, you’ll use your technical expertise and leadership skills to work with diverse teams to bring cutting edge data products to life.

We are a diverse lineup of thousands spread across the globe. Together, we are building a smarter, more connected and automated value chain. And we are looking for world-class talent like you to contribute to this journey.

Nike is embracing Big Data technologies to enable data-driven decisions. As a tech lead, you will work with a variety of talented Nike teammates and be a driving force for building solutions for Nike Technology. You will be working on development projects related to marketplace performance, supply chain, and merchandising.


  • Help lead a team of data engineers, architects, and platform engineers to build innovative and sustainable data products that demonstrate business value
  • Lead the design and build-out of reusable components, frameworks and libraries at scale to support analytics products
  • Lead the design and implementation of product features in collaboration with business and technology stakeholders
  • Anticipate, identify and solve issues concerning data management to improve data quality
  • Help clean, prepare and optimize data at scale for ingestion and consumption
  • Drive the implementation of new data management projects and refactoring of the current data architecture
  • Help implement complex automated workflows and routines using workflow scheduling tools
  • Lead the build-out of continuous integration, test-driven development and production deployment frameworks
  • Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Analyze and profile data for the purpose of designing scalable solutions
  • Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
  • Mentor and develop data engineers in career development and adopting best practices


  • Advanced experience building cloud scalable, real time and high-performance data lake solutions leveraging AWS, EMR, EC2, S3, Spark, Hive & Lambda
  • Experience with relational SQL, preferably Snowflake
  • Experience with Python or another scripting language
  • Experience with source control tools such as GitHub and related dev process
  • Experience with Airflow or another scheduling tool
  • Understanding of micro service architecture
  • Strong understanding of developing complex data solutions
  • Experience working on end-to-end solution design
  • Experience preparing data to be analyzed and visualized (preferably with Tableau)
  • Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions
  • Willing to learn new skills and technologies
  • Has a passion for data solutions
  • Strong understanding of data structures and algorithms
  • Strong understanding of solution and technical design
  • Has a strong problem solving and analytical mindset
  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
  • Able to quickly pick up new programming languages, technologies, and frameworks

Seniority Level

Mid-Senior level


  • Information Technology & Services
  • Sporting Goods
  • Apparel & Fashion

Employment Type


Job Functions

  • Information Technology

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