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 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 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.

Benefits

Why Join Anchanto

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 families 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 recognising 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.