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.
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.
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
