The Role

We are building our enterprise data platform from the ground up and need a Data Architect to own it. This is a greenfield, hands-on leadership role — not a consulting engagement. You will define the architecture, make the
technology decisions, build the foundation, and be accountable for outcomes. You will report directly to the CTO and
partner closely with a Senior Data Engineer on the same hiring cycle. The platform will serve business analytics, operational reporting, and AI-driven capabilities across multiple markets andenterprise clients. A key deliverable is enabling AI applications and agents to consume trusted enterprise data securely viaAPIs and Model Context Protocol (MCP).

What You Will Own
Data platform architecture — Data Lake, Lakehouse, semantic layers, and data consumption patterns across
structured, semi-structured, and event-based sources.
Ingestion and transformation pipelines — batch, streaming, and CDC-based, with proper orchestration, observability, and failure handling.
Data modelling — scalable analytical models covering core business domains: orders,



inventory, fulfilment,
logistics, marketplaces, billing, and platform performance.
Business analytics — governed KPI definitions, dashboards, and self-service capabilities that replace manual
reporting.
AI data enablement — architecture for exposing authoritative, governed data to AI agents through MCP and APIs, with appropriate access controls and tenant isolation.
Data governance and compliance — data quality, lineage, PII classification, and controls that meet enterprise
security and privacy obligations across multiple jurisdictions.
Platform reliability — monitoring, SLAs, incident management, and operational runbooks so the platform runs as a
production service.

What We Expect
First 90 days: Weeks 1–4: Assess the data landscape, produce an enterprise architecture proposal.
Weeks 5–8: Deliver the first production pipeline and a priority BI dashboard.
Weeks 9–12: Define common KPI

📌 Data Architect (Pune)
🏢 Anchanto
📍 Pune