Data Architect

Anchanto; Maharashtra; Presencial; INR 5 000 000 - 7 000 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Global exposure

Learning & Development

Medical Insurance

Work-life balance

Resumo da oferta

Anchanto is seeking a Data Architect to own a new greenfield data platform. You will define the architecture, drive technology choices, and build the foundation for analytics, reporting, and AI-driven capabilities.

You will report to the CTO and work with a Senior Data Engineer to deliver scalable data pipelines and governance across multiple markets. The role entails hands-on leadership, end-to-end ownership, and delivering MCP-based data capabilities for enterprise clients with strong emphasis

Qualificações

• 10+ years in data engineering, platforms, or architecture with ownership.
• Experience building Data Lake/Warehouse/Lakehouse platforms.
• Strong SQL, data modelling, and cloud-native skills (AWS).
• Experience with governance, data quality, lineage, and privacy (PII).
• Hands-on ability to validate designs early and set scalable standards.
• Experience in ecommerce/logistics or B2B SaaS preferred.

Responsabilidades

• Own the greenfield data platform from architecture to production.
• Define architecture, make technology decisions, build foundation.
• Lead pipelines: batch, streaming, CDC with observability.
• Model data across orders, inventory, fulfillment, etc.
• Enable AI data consumption via MCP and APIs with security.
• Establish data governance, quality, lineage, and compliance.
• Ensure platform reliability, monitoring, SLAs, incident runbooks.
• Collaborate with CTO and Senior Data Engineer.

Conhecimentos

SQL

Data modelling

Pipeline design

Cloud AWS

Data governance

AI integration

Ferramentas

AWS

Descrição da oferta de emprego

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 architect ure, 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 architect ure — 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 — architect ure 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.

First 90 Days

• Weeks 1–4: Assess the data landscape, produce an enterprise architect ure 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 data sets.
• Governed business models and trusted KPI definitions in active use by the business.
• Dashboards live and replacing manual reporting.
• Architect ure 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 architect ure — with real architect ure 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 architect ure, comfortable with high ownership, and capable of moving fluently from business question to data pipeline to AI consumption — we want to talk.

Benefits

At Anchanto, we believe in creating an environment where people can build meaningful careers, continuously develop their capabilities and gain exposure to a truly global business.

• Global Exposure: Work with diverse teams, customers and stakeholders across international markets and gain experience in a global B2B SaaS environment.
• Learning & Development: We invest in our people through sponsored learning, certifications and development opportunities aligned with your professional growth.
• International & Onsite Opportunities: Client-facing roles may offer opportunities to travel and work onsite with customers across our global markets.
• Medical Insurance: Comprehensive medical insurance coverage to support you & your family's health and well-being.
• Comprehensive Leave Benefits: Maternity, Paternity, Marriage and Bereavement leave, along with Comp Off and flexibility to support important personal commitments.
• Recognition for Long-Term Contribution: Tenured employees are eligible for additional monetary benefits, extra paid leave and company-sponsored paid vacations as part of our commitment to recognizing long-term contribution.
• Flexibility & Work-Life Balance: A supportive and flexible work environment that enables employees to manage professional responsibilities alongside personal priorities.
• Meaningful Career Growth: Take ownership of challenging, high-impact work and contribute to products and solutions that serve global brands, retailers and logistics businesses.