Lead Data Engineer: Scalable Pipelines & AI

Nike; Beaverton (OR); On-site; USD 150,000 - 190,000; Full time

Job summary

Nike in Beaverton, OR is seeking a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within the CP&I organization. You will lead technical design, mentor engineers, and set standards for data governance, performance, and engineering excellence.

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

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.
• Experience leading and mentoring data engineering teams.
• 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

Leadership

Mentoring

Cross-functional collaboration

Data governance

Performance optimization

Communication

Education

Bachelor's degree or equivalent combination of education, experience, or training

Tools

Databricks

PySpark

SQL

Apache Spark

Databricks Lakehouse Platform

Delta Lake

AWS (S3, RDS)

CI/CD

Git

DevOps practices

Kafka

Kinesis

Job description

Nike in Beaverton, OR is seeking a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within the CP&I organization. You will lead technical design, mentor engineers, and set standards for data governance, performance, and engineering excellence.

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