Purplle is two businesses under one roof. A commerce platform — app, web, and ~250 stores serving 15M+ monthly users. And a CPG house of brands that sells on Purplle, on other marketplaces, in quick commerce, and in general and modern trade. Both run on a data stack that is mid-rebuild.

You will own the layer that turns our warehouse into decisions — metric definitions, the semantic layer that agents and decision engines query, and the predictive systems that tell us what is about to happen rather than what already did. Across every function: commerce, category and merchandising, CPG brand P&Ls;, supply chain, stores, retail media, marketing, and finance. No function is a second-class consumer.

What you're building

Medallion, with a clear line of ownership. Data Engineering owns bronze and silver — ingestion, contracts, schema validation, freshness SLAs. You own gold: the curated marts, conformed dimensions, and business logic that everything downstream depends on. One definition of a metric, one place it lives, and a hard rule that nothing consumes silver directly.





A large share of what lands in bronze comes from outside our own walls — marketplace and quick-commerce partner feeds, distributor and trade data, store systems, ad platforms. Reconciling that into one trustworthy view of a SKU, a customer, and a brand's true margin is the hardest part of the job and the part with the most upside.

A semantic layer that machines consume, not just humans. Metric and entity definitions as versioned code, compiling into three consumption paths:
Natural-language analytics — agile resolution for conversational querying, so a category manager, a brand lead, or a store cluster head gets an answer without an analyst in the loop
Typed contracts for decision engines and agents — pricing, replenishment, assortment, personalization and spend-allocation systems read metrics through a stable API, not hand-rolled SQL that drifts
Reference definitions for the ML workbench — feature

📌 Associate Director (Mumbai)
🏢 Purplle.com
📍 Mumbai