Lead - Data & Ml Platform
AI Summary
This role is for one of our clients Industry: Retail Seniority level: Mid-Senior level Location: Bengaluru, Mumbai JobType: full-time Focus Areas: (i) Data Platform Engineering, (ii) ML Platform & MLOps, (iii) Platform Operations & FinOps, (iv) Data Governance & Quality Experience: 14–20 years total | 8–12 years in Data/ML Platform Engineering Core Platform: Databricks Intelligence Platform (Unity Catalog, Delta Lake, MLflow, Mosaic AI) The Context We are currently developing the “v2.0” in
About this role
Location: Bengaluru, Mumbai
JobType: full-time
Focus Areas: (i) Data Platform Engineering, (ii) ML Platform & MLOps, (iii) Platform Operations & FinOps, (iv) Data Governance & Quality
Experience: 14–20 years total | 8–12 years in Data/ML Platform Engineering
Core Platform: Databricks Intelligence Platform (Unity Catalog, Delta Lake, MLflow, Mosaic AI)
The Context
We are currently developing the “v2.0” intelligence layer atop this Lakehouse—aiming to standardize MLOps, expand Agentic AI capabilities, and guarantee that the platform delivers sub-second latency across the entire retail network, which includes tens of thousands of stores and high-traffic digital channels.
The Data & ML Platforms group (Group A in Enterprise IT) serves as the driving force behind this transformation. It is led by a VP (L2) and organized into four AVP-led pillars, supported by 10 AI-ready Platform Engineers and a transitioning team of Data Engineers. Each AVP is responsible for a specific platform layer and functions as a builder-leader—expected not only to manage but also to architect, perform code reviews, and actively contribute to development alongside their team.
The Four Pillars
We are seeking to hire four AVPs, each heading one of the platform pillars. While each AVP has full ownership of their respective pillar, all four collaborate closely as a unified leadership team under the VP. Candidates may be evaluated for placement in any pillar depending on their strengths and fit.
