Lead Data Engineer: Scalable Pipelines & AI

NIKE, Inc.; Beaverton (OR); On-site; USD 150,000 - 190,000; Full time

Job summary

Nike is seeking a Lead Data Engineer in Beaverton, OR to design, build, and maintain scalable data pipelines and analytics solutions for Consumer Product and Innovation. You will lead technical design and development, mentor engineers, and set data governance standards across enterprise data platforms.

The role requires deep expertise in distributed data processing, cloud platforms, and strong collaboration with data scientists, analysts, and product managers to translate complex requirements

Qualifications

• Bachelor's degree in Computer Science or related field.
• 8+ years of Data Engineer experience with strong expertise in Databricks, PySpark, SQL, and Apache Spark
• Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
• Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
• Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Responsibilities

• Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP & I
• Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
• Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
• Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
• Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
• Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
• Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

Skills

Databricks

PySpark

SQL

Apache Spark

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks Lakehouse Platform

Medallion architecture

Delta Lake

AWS data services (S3, RDS)

CI/CD

Git

DevOps practices

Kafka

Kinesis

Job description

Nike is seeking a Lead Data Engineer in Beaverton, OR to design, build, and maintain scalable data pipelines and analytics solutions for Consumer Product and Innovation. You will lead technical design and development, mentor engineers, and set data governance standards across enterprise data platforms.

The role requires deep expertise in distributed data processing, cloud platforms, and strong collaboration with data scientists, analysts, and product managers to translate complex requirements