Lead Data Engineer — AI & Analytics Platform

FashionUnited; Beaverton (OR); On-site; USD 150,000 - 210,000; Full time

Job summary

Nike is seeking a Lead Data Engineer for its CP&I Data and Analytics Engineering team in Beaverton, OR. You will design, build, and maintain scalable data pipelines and analytics solutions powering BI and AI initiatives across the business.

You will lead technical design, mentor engineers, and drive data governance and engineering excellence in a fast-paced environment. The role requires deep distributed data processing expertise, cloud platforms, and strong collaboration with data

Qualifications

• Bachelor's degree or equivalent combination of education, experience, or training.
• 8+ years of experience as a Data Engineer 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 workflowsParticipate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

Skills

Databricks

PySpark

SQL

Apache Spark

CI/CD

Git

DevOps

Data modeling

ETL/ELT

Real-time data processing

Cross-functional collaboration

Leadership

Education

Bachelor's degree

Tools

Databricks Lakehouse Platform

Medallion architecture

Delta Lake

AWS (S3, RDS)

Kafka

Kinesis

Job description

Nike is seeking a Lead Data Engineer for its CP&I Data and Analytics Engineering team in Beaverton, OR. You will design, build, and maintain scalable data pipelines and analytics solutions powering BI and AI initiatives across the business.

You will lead technical design, mentor engineers, and drive data governance and engineering excellence in a fast-paced environment. The role requires deep distributed data processing expertise, cloud platforms, and strong collaboration with data