You will be a part of the larger Global Technology organization working on Nike’s internal Supply Chain and Planning Technology (SCPT). You will work day-to-day with a team of engineers, the team’s Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals
WHO WE ARE LOOKING FORWe are seeking a highly skilled Lead Software Engineer with deep expertise in Data Engineering, Advanced SQL development, Python programming, GenAI Skills and practical DevOps experience. This role will lead the design, development, and optimization of enterprise-scale data platforms, enabling data-driven decision making through reliable, scalable, and high-performance data solutions. The ideal candidate combines strong hands-on engineering capabilities with technical leadership, mentoring, architectural thinking and the ability to collaborate across product, analytics, platform and business teams.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
8+ years of software engineering experience with significant focus on Data Engineering.
Expert-level SQL skills with experience writing and optimizing complex analytical queries.
Strong programming expertise in Python.
Experience designing and operating large-scale data platforms and pipelines.
Hands-on experience with cloud technologies (AWS, Azure, or GCP).
Experience with modern data processing frameworks such as Spark, Databricks, EMR, Snowflake, or equivalent.
Experience with Kubernetes, Docker, Terraform, or CloudFormation.
Exposure to streaming technologies such as Kafka, Kinesis, or Event Hubs.
Experience building observability and monitoring solutions.
Familiarity with AI/ML data pipelines and GenAI-enabled platforms.
Experience leading enterprise-scale platform modernization initiatives.
Practical experience with DevOps practices including CI/CD, infrastructure automation, monitoring and deployment pipelines.
Strong understanding of distributed systems, scalability, reliability and performance engineering.
Excellent communication, stakeholder management and leadership skills.
Data Engineering & Architecture
Design, develop and maintain scalable data pipelines supporting batch and near real-time processing workloads.
Build and optimize data ingestion, transformation and data serving frameworks across large-scale data ecosystems.
Lead data modelling initiatives, including dimensional, relational and analytical data structures.
Ensure high standards of data quality, governance, reliability and operational excellence.
Drive modernisation initiatives across data platforms, tooling and engineering practices.
Software Development
Develop robust, maintainable and reusable solutions using Python and related frameworks.
Build APIs, automation solutions, and platform services supporting enterprise data products.
Apply software engineering best practices including design patterns, test automation, code reviews and CI/CD.
SQL & Performance Engineering
Write and optimize complex SQL queries, stored procedures, views and analytical workloads.
Perform query tuning, execution plan analysis and performance optimization.
Design efficient ELT/ETL solutions ensuring scalability and reliability.
DevOps & Platform Engineering
Implement CI/CD pipelines for data and application deployments.
Automate infrastructure provisioning, monitoring, alerting and operational workflows.
Work with containerization and cloud-native technologies to improve deployment efficiency.
Support production systems through observability, reliability, and operational best practices.
Leadership & Collaboration
Provide technical leadership for a team of software and data engineers.
Drive architecture reviews, technical roadmap planning, and engineering excellence initiatives.
Mentor engineers and foster a culture of innovation, ownership, and continuous improvement.
Partner with business stakeholders, product teams, architects, and cross-functional engineering teams to deliver impactful solutions.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field
- 8+ years of software engineering experience with significant focus on Data Engineering
- Expert-level SQL skills with experience writing and optimizing complex analytical queries
- Strong programming expertise in Python
- Experience designing and operating large-scale data platforms and pipelines
- Hands-on experience with cloud technologies (AWS, Azure, or GCP)
- Experience with modern data processing frameworks such as Spark, Databricks, EMR, Snowflake, or equivalent
- Experience with Kubernetes, Docker, Terraform, or CloudFormation
- Exposure to streaming technologies such as Kafka, Kinesis, or Event Hubs
- Experience building observability and monitoring solutions
- Familiarity with AI/ML data pipelines and GenAI-enabled platforms
- Experience leading enterprise-scale platform modernization initiatives
- Practical experience with DevOps practices including CI/CD, infrastructure automation, monitoring and deployment pipelines
- Strong understanding of distributed systems, scalability, reliability and performance engineering
- Excellent communication, stakeholder management and leadership skills
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
Nike Insights
What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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