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.
Top Skills
What We Do
At NIKE, Inc., it’s in our nature to innovate and our mission is to bring inspiration and innovation to every athlete* in the world [if you have a body, you’re an athlete]. Because we exist to serve athletes, we dare to design the future of sport. To us, innovation is about elevating human potential. We obsess over the needs of athletes of all abilities, using their insights to create products that are beautiful, useful and make all athletes better. To make big leaps, we take big risks. Incremental change won’t get us to where we want to go fast enough. So we pursue moonshots — like developing the first self-lacing shoe, running the first two-hour marathon and committing to 100% renewable energy use in our facilities. We embrace different perspectives — from scientists and designers to coders and quarterbacks — because we know everyone brings unique experiences and ideas to the team. To serve athletes across the hundreds of countries where NIKE does business, we need teams that truly reflect the diversity of our consumers and a culture of inclusivity. We aim to foster inclusion and embrace diversity throughout our business, teams, and culture to create breakthrough innovations, empower teammates to realize their full potential and bring us closer to the communities we serve. NIKE's diverse, high-performing teams around the world are united in purpose and inspired to change the world through sport.
Why Work With Us
With a global footprint, culture of innovation and team-first mentality, we take action to create a future of continual progress for athletes, sport and our world. Whether our job is designing the ultimate sneaker or coding a revolutionary app, we’re united by the same mission: to bring inspiration and innovation to every athlete in the world.
Gallery
.jpeg)
