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Tier-1 brand and Bangalore metro increase applicant density despite seniority and specialized data requirements.
Core data engineering leadership skills are transferable, though retail/commerce scale experience increases fit.
Explicit 10+ years, 5+ years management, and specific data platform tech make screening highly stringent.
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Lead multiple engineering squads within Nike's Marketplace Data Engineering team, owning delivery, reliability, and operational health of data products such as APIs, pipelines, and ontology layers.
Partner with Product, BI Experience, Platform, and Data Governance teams to shape strategy, roadmap, and execute multi-quarter plans balancing simplification, cost, and new investments.
Manage and develop Engineering Managers and senior individual contributors, setting SLAs, leading incident response, and driving operational maturity across data products.
10+ years of engineering experience; at least 5 years managing software or data engineering teams (managing managers preferred).
Strong technical foundation in backend and/or data engineering with experience in production data platforms including APIs, pipelines, warehouses, and ontology layers at scale.
Experience with modern data ecosystems: 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.
Proven track record of setting strategic roadmaps for enterprise data products, balancing operational cost and complexity with new feature development.
Experience attracting, hiring, and growing technical talent across levels from junior to principal engineers in a globally distributed environment.
Strong operational rigor managing production reliability, SLAs, incident response, cost, and security for large-scale data platforms used in retail or consumer domains.