---
title: "Data Architect"
company: "Anchanto"
company_url: "https://www.remjobs.works/companies/anchanto"
url: "https://www.remjobs.works/job/anchanto-data-architect-919c3206-e034-4b60-b7cc-b15805a8ddff"
apply_url: "https://job-boards.greenhouse.io/anchanto/jobs/8002129003"
workplace: onsite
location: "Pune, India"
employment_type: unspecified
seniority: mid
role: data
region: india
date_posted: 2026-09-22T09:13:18.000Z
first_seen_by_remjobs: 2026-09-22T09:21:01.954Z
---

# Data Architect

**Anchanto** · Pune, India

Apply: https://job-boards.greenhouse.io/anchanto/jobs/8002129003

## About Anchanto

Discover Anchanto's cutting-edge solutions for e-commerce, WMS, OMS, supply chain, and more. Power up your e-commerce & supply chain management today!

## About the role

##### Data Architect

##### 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 and enterprise clients. A key deliverable is enabling AI applications and agents to consume trusted enterprise data securely via APIs 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 models for two business domains and deliver the first MCP-based data capability for an AI agent.

**6–12 months:**

- Production data platform operational with automated pipelines for priority datasets.

- Governed business models and trusted KPI definitions in active use by the business.

- Dashboards live and replacing manual reporting.

- Architecture for secure AI data consumption implemented, with initial MCP capabilities in production.

- Platform operational practices — quality, lineage, monitoring, cost controls — established and running.

##### What We Are Looking For

- 10+ years across data engineering, data platforms, or data architecture — with real architecture ownership, not just delivery.

- Proven experience designing and building enterprise Data Lake, Warehouse, or Lakehouse platforms.

- Strong SQL, data modelling, pipeline design, and cloud-native (preferably AWS) skills.

- Experience with governance, data quality, lineage, and compliance — including PII and privacy controls.

- Hands-on enough to validate designs and build in the early phase; structured enough to define standards that scale.

- Experience in eCommerce, logistics, marketplace, or B2B SaaS is strongly preferred — the domain is complex and ramp time matters.

**Desirable:** Practical experience with MCP, LLM/AI integration, semantic layers, RAG, or secure enterprise data access for AI systems.

##### The Opportunity

This is a founding role. The data platform does not yet exist. You will define what good looks like at Anchanto — and build it.

If you are energised by greenfield architecture, comfortable with high ownership, and capable of moving fluently from business question to data pipeline to AI consumption — we want to talk.

---

Source: Anchanto's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/anchanto-data-architect-919c3206-e034-4b60-b7cc-b15805a8ddff