Experience with observability and SRE practices: metrics, tracing, alerting, error budgets, on-call leadership.
Comfortable with TDD, modern CI/CD, and the productive use of AI engineering tools (GitHub Copilot, etc.).
Strong written and verbal communication — able to influence both engineers and senior business stakeholders.
Bachelor's or Master's degree in Computer Science, Information Systems, or related field — or equivalent experience.
Preferred: experience with data governance, RLS/ABAC, ontology/semantic layers, dbt, agentic/LLM-powered analytics layers, or large-scale BI platforms.
WHAT YOU'LL WORK ON
As a Lead Software Engineer in Marketplace Data Engineering, you will own the technical direction of a data product squad serving Nike Direct, Wholesale Demand, Inventory, 3PP Demand, Customer Dimensional data, WFM, Clickstream, Member, or Orderbook.
You will lead the design of consumption layers, APIs, and pipelines that BI Experience teams build on — establishing patterns, contracts, and quality bars.
You will drive aggressive simplification and unification of our data products landscape, reducing KLO/TCO while improving consistency.
You will co-create agentic and ontology-driven consumption experiences with BI Experience teams, embedding business context and metric consistency directly into our code and systems.
You will own production reliability, scalability, and security for your squad's services — leading incident response, capacity planning, and the operational quality of what you ship.
You will mentor and grow the SWE I and SWE II engineers on the squad, raising the technical bar through reviews, pairing, and design coaching.
You will partner with the Platform team to adopt and contribute back recommended toolkits, blueprints, and patterns.
You will represent the team in cross-org architecture forums and influence the broader Nike data architecture.
