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Tier-1 brand, metro Hyderabad location, and broad multi-skill data/AI requirements increase applicant competition.
Deep enterprise data engineering and AI leadership required, moderately transferable across industries.
Mandatory 15+ years, specific Snowflake/Databricks/GenAI requirements, and enterprise data platform experience make shortlisting strict.
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Lead data and analytics strategy and architecture for Global Stores, supporting over $50B retail revenue.
Design and deliver scalable data platforms and AI-powered analytics solutions leveraging Azure and generative AI.
Drive cross-functional initiatives, enforce engineering best practices, and mentor engineering teams.
Bachelor’s degree with 15+ years or Master’s with 12+ years in data engineering, analytics, or BI.
Expertise in Snowflake, Databricks, Pyspark, Fabric, Power BI, SQL, Oracle, Python, data modeling, and data warehousing.
Experience with cloud platforms (Azure, AWS, GCP, OCI), event-driven architectures, APIs, and data platform development.
At least 2 years experience in Generative AI and Agentic AI implementations; proven leadership of enterprise-scale data platforms.
Experienced leader skilled at aligning data strategies with business objectives in large retail or similarly complex environments.
Technical expert in modern data architectures, AI-driven analytics, and scalable data platform delivery on cloud ecosystems.
Proven ability to influence cross-functional stakeholders and deliver results in fast-paced, ambiguous, and evolving settings.