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Strong employer brand plus mid-senior data role and broad cloud/Databricks requirements make competition moderate.
Core data engineering skills transfer across industries, but BI/commerce domain expertise increases background sensitivity.
Explicit 7–10 years plus mandatory Databricks/Spark/cloud and data-product experience drives high strictness.
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Own the technical leadership and direction of a Marketplace Data Engineering squad serving various Nike business domains (e.g., Nike Direct, Wholesale Demand, Inventory).
Lead design and implementation of data consumption layers, APIs, and pipelines, setting architecture patterns, data contracts, and quality standards.
Responsible for production reliability, scalability, security, incident response, mentoring junior engineers, and influencing cross-organization data architecture.
7–10 years of backend and/or data engineering experience.
Proficiency in one or more of Java, Python, Scala; strong SQL and data modeling skills.
Hands-on experience with Databricks, Spark, Delta Lake, Unity Catalog or equivalents, and orchestration tools like Airflow.
Strong cloud experience (AWS, GCP, or Azure) including networking, IAM, and cost-aware architecture; Bachelor's or Master's in CS or related field, or equivalent experience.
Experienced technical leader capable of driving design reviews, API definition, and consensus across cross-functional teams.
Expertise in distributed systems, data products, and modern data governance/security practices including observability, SRE, and CI/CD.
Track record of mentoring and growing engineers, working closely with product and BI teams to deliver scalable and simplified data products.