Lead Data Engineer – Data & Analytics

Location: Beaverton, OR

*** Mention DataYoshi when applying ***

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.

What are we looking for

We are seeking multiple Lead Data Engineers to play a critical role in the development of Nike’s Enterprise Data & Analytics capabilities. You will be part of an organization focusing on the development and delivery of data solutions and capabilities for Nike’s Commercial Analytics and data platforms. The successful candidate is motivated by thinking big data, technically proficient, and enjoys working in a fast paced environment.

What will you work on

You will drive work you're doing to completion with hands-on development responsibilities, and partner with the Engineering Manager to provide thought leadership and innovation with those results.

In this role, you will:
  • Provide technical leadership towards architecting and delivering end to end solutions
  • Working with Product managers and business partners for prioritization, impact assessment and resolution
  • Driving and ensuring team work are of the highest quality and on time
  • Perform design, code and test plan reviews developed by other data engineers in support of maintaining data engineering standards
  • Working with other teams for multi-functional initiatives
  • Design and build reusable components, frameworks and libraries at scale to support analytics products
  • Design and implement product features in collaboration with business and Technology partners
  • Develop architecture and design patterns to process and store high volume data sets
  • Identify and tackle issues concerning data management to improve data quality
  • Collaborate on the implementation of new data management projects and re-structure of the current data architecture
  • Implement automated workflows and routines using workflow scheduling tools
  • Build continuous integration, test-driven development and production deployment frameworks
  • Tackle data issues and perform root cause analysis to proactively resolve product and operational issues
  • Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints
  • Able to influence and communicate effectively, both verbally and written, with team members and business partners
Who will you work with

You will be part of an agile scrum team, closely working with the Product Manager, Engineering Manager, Scrum Masters and other team members that drive to deliver data and analytics capabilities to Nike’s Commercial Analytics organization. You will partner with business facing team members and other technology solution delivery, architecture, and platform teams.

What you bring

We are looking for world class talent that brings the following key skills and experience to this role:

  • Bachelor's degree in IT or related field. One of the following alternatives may be accepted: PhD or Law + 3 yrs; Masters + 4 yrs; Associates + 6 yrs; High School + 7 yrs exp
  • 7+ years of relevant experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
  • 4+ years’ experience in Big Data stack environments (Hadoop, SPARK, Hive & Delta Lake)
  • 4+ year’s working with multiple file formats (Parque, Avro, Delta Lake) & API
  • 3+ year’s experience in cloud environments like AWS (Serverless technologies like AWS Lambda, API Gateway, NoSQL like Dynamo, EMR & S3)
  • Experience with relational and non relational SQL
  • Strong experience in coding languages like Python, Scala & Java
  • Have experience in building realtime streaming data pipelines
  • Experience in pub/sub modes like Kafka
  • Strong understanding of data structures and algorithms
  • Experience in building lambda, kappa, microservice and batch architecture
  • Experience working on CI/CD processes and source control tools such as GitHub and related dev processes
  • Has a passion for data solutions and willing to pick up new programming languages, technologies, and frameworks
  • Effective communication skills (with team members, the business, and in code)
Still Interested?

If you’re ready to innovate and help lead our Enterprise Data and Analytics organization, come join us now! You will be part of an organization that is revolutionizing Nike technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable Nike on its journey to 2022 and beyond.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

*** Mention DataYoshi when applying ***

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