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Strong brand and remote option increase applicant volume, but seniority and specialized data platform skills limit density.
Role requires deep data platform and leadership experience, so skills transferability across industries is limited.
Explicit 10+ years, 5+ years managerial experience and specific modern data platform requirements create strict filters.
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Lead multiple engineering squads responsible for delivery, reliability, and operational health of Nike Direct and Marketplace data products.
Manage Engineering Managers and Senior ICs, coaching and growing technical talent while owning roadmap trade-offs and simplification of data product landscape.
Drive production reliability, security, and cost management, including SLA setting and incident response, while partnering cross-functionally on platform and data governance strategy.
10+ years of engineering experience with at least 5 years managing software or data engineering teams (management of managers preferred).
Strong technical foundation in backend or data engineering with experience in data platforms (APIs, pipelines, warehouses, semantic/ontology layers).
Experience with modern data ecosystem technologies such as Databricks, Spark, Delta Lake, Unity Catalog, Airflow, Kafka, dbt, and cloud platforms (AWS, GCP, or Azure).
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
Experienced in leading enterprise-scale data product teams with a track record in roadmap planning, cost optimization, and operational rigor.
Comfortable collaborating cross-functionally with Product, Design, BI Experience, and Platform teams to achieve business outcomes and influence architecture/governance.
Proven ability to attract, hire, and develop strong engineering talent across levels and manage globally distributed teams.