Who We Are Looking For
We are looking for a visionary and valuedriven
Director of Data Engineering to lead the design, build, and evolution of Nike's modern data platforms and pipelines in support of digital transformation across merchandising, apparel and footwear product creation. This role will deliver the scalable, reliable, and secure data foundations that power analytics, intelligence, machine learning, and operational decisionmaking across merchandising, design, and development.
The ideal candidate is an inclusive and empowering technology leader with strong architectural instincts, a passion for data as a product, and a proven ability to translate business strategy into resilient data platforms that deliver value at scale.
What You Will Work On
This role will lead, support, and develop Data Engineering team members, manage priorities across complex dependencies, and deliver outcomes across organizational boundaries. You will partner closely with Merchandising and Creation product delivery teams, Busines Intelligence and Analytics delivery teams, and Intelligence teams to ensure data is trusted, accessible, and actionable throughout the product creation lifecycle.
You Will Be Responsible For
- Leading, mentoring, and managing a crossfunctional team of data engineers responsible for building and operating scalable data platforms, pipelines, and services aligned to multiyear roadmaps
- Defining and executing the Data Engineering strategy in support of analytics, intelligence, machine learning, and operational use cases
- Owning the design and implementation of modern data architectures, including lakehouse platforms, curated data layers, and domainoriented data products
- Ensuring data pipelines are reliable, performant, secure, and observable through strong engineering standards and operational excellence
- Championing data quality, lineage, governance, and metadata practices that enable trust and selfservice consumption
- Partnering with Intelligence and Analytics teams to enable advanced analytics and AI/ML through wellmodeled, productionready datasets
- Collaborating with platform, security, and engineering partners to ensure compliant and scalable solutions
- Managing priorities, dependencies, and technical tradeoffs while balancing nearterm delivery with longterm sustainability
- Attracting, developing, and retaining top engineering talent while fostering a culture of learning, ownership, and continuous improvement
Who You Will Work With
As a leader in the organization, you will partner closely with peer directors and leaders across Consumer Product & Innovation, Product, Platform Engineering. You will work handinhand to manage priorities, drive alignment and deliver cohesive, endtoend data capabilities.
What You Bring
- 15+ years of experience in data engineering, data platform development, or analytics engineering
- 5+ years of experience leading and scaling highperforming technical teams
- Proven success designing and operating modern cloudbased data platforms at enterprise scale
- Deep knowledge of data architecture patterns, including lakehouse, batch and streaming pipelines, and data modeling
- Strong understanding of data governance, quality, lineage, and operational best practices
- Experience enabling analytics and machine learning through robust, welldesigned data foundations
- Handson experience with modern cloud data technologies (e.g., AWS/Azure, Databricks, Snowflake, Kafka/Kinesis, Airflow, dbt)
- Experience working within large organizations or scaled Agile delivery models
- Exceptional communication and stakeholder engagement skills
- Ability to translate complex technical concepts into clear, actionable guidance for diverse audiences
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
