Principal Software Engineer

Who you'll work with

You will report to the Senior Director of Engineering and serve as the most senior individual contributor in the organization. You will drive the next generation of Marketing data platforms, analytics engineering, AI-enabled insights, measurement frameworks, and data products that power critical business functions across Paid Media, Owned Marketing, Consumer Engagement, Content Supply Chain, AdTech, CDP, and Marketplace Insights.

The successful candidate will serve as a technical leader and trusted partner to engineering, product, data science, analytics, and business stakeholders globally. You will be a technical force multiplier whose decisions influence dozens of teams and millions of dollars of Global Technology.

Who we are looking for

• 10+ years of software and data engineering experience, including time as a senior or lead individual contributor at a large-scale data-driven company.
• Mastery of multiple backend languages, including Java, Python, and Scala, with deep expertise in distributed systems, data modeling, and API design.
• Architect-level fluency with modern data platforms such as Analytics, Databricks, Spark, Delta Lake, Unity Catalog, Iceberg, Trino, and dbt, as well as streaming systems such as Kafka and Flink.
• Experience designing enterprise consumption layers, including semantic or ontology layers, governed APIs, metric stores, and agentic or LLM-powered analytics surfaces.
• Strong cloud architecture expertise across AWS, GCP, or Azure, including security, cost, resilience, and multi-region architecture.
• A track record of driving large-scale simplifications, decommissions, and migrations across many teams.
• Ability to set technical strategy, write influential design documents, and align senior leaders.
• Experience partnering with Platform, Security, and Governance organizations to shape enterprise standards.
• Exceptional written and verbal communication skills.
• Bachelor's or advanced degree in Computer Science or a related field, or equivalent experience.
• Preferred: published technical writing, open-source contributions, or experience leading data-product platforms at retail, commerce, or consumer scale.

What you'll work on

• Shape the long-term technical direction of Marketing Data Foundation and BI.
• Define the multi-year architecture for governed consumption layers, including APIs, ontology and semantic models, agentic layers, and data quality systems.
• Drive a single source of truth for Nike Marketing analytics and insight data across the enterprise.
• Lead the simplification and unification of the data products landscape, including system decommissioning and safe migrations.
• Co-design agentic and AI-powered consumption experiences for business users.
• Set engineering standards for testing, observability, security, and performance.
• Influence the Platform team's toolkit, blueprints, and patterns for Marketplace data use cases at scale.
• Mentor Leads and Senior engineers across multiple squads and represent the organization in architecture and governance forums.
• Write and ship code on the highest-leverage problems.

NIKE, Inc. offers a generous total rewards package, a casual work environment, a diverse and inclusive culture, and opportunities for professional development. NIKE, Inc. is an equal opportunity employer.