Delivery Manager - OMS Pod

Anchanto; Pune District; On-site; INR 1,400,000 - 2,300,000; Full time

Benefits offered by this job

Medical Insurance

Global exposure

Learning & Development

Work-life balance

Job summary

Anchanto is seeking a Data Architect to lead the design and delivery of our enterprise data platform. This greenfield leadership role reports directly to the CTO and requires owning architecture decisions, building the foundation, and driving outcomes with the Data Engineering team.

The platform will support analytics, reporting, and AI-driven capabilities across global markets and clients. Strong emphasis on secure AI access via APIs and MCP, governance, and scalable data pipelines.

Qualifications

• 10+ years in data engineering, platforms, or architecture with ownership.
• Proven experience building Data Lake, Data Warehouse, or Lakehouse.
• Expertise in SQL, data modeling, pipeline architecture, and AWS.
• Experience with data governance, data quality, lineage, compliance, PII protection, and privacy controls.
• Hands-on ability to validate designs and contribute during the early build phase while defining scalable standards.
• Experience in eCommerce, logistics, marketplace, or B2B SaaS environments is highly preferred.

Responsibilities

• Define and own enterprise data platform architecture (Data Lake, Lakehouse, semantic layers, data consumption frameworks).
• Design and oversee batch, streaming, and CDC data pipelines with orchestration, monitoring, reliability.
• Build scalable data models across orders, inventory, fulfillment, logistics, marketplaces, billing, and platform performance.
• Establish governed KPI definitions, dashboards, and self-service analytics capabilities.
• Enable secure AI data consumption through APIs and MCP with proper access controls and tenant isolation.
• Implement data governance, quality, lineage, compliance, and PII/privacy controls.
• Ensure platform reliability through monitoring, SLAs, incident management, and runbooks.

Skills

Data architecture

Data modeling

SQL

AWS cloud

Data governance

Leadership

Hands-on

Big data

KPI & dashboards

Tools

AWS

Job description

We are building our enterprise data platform from the ground up and are looking for a Data Architect to lead its design and delivery. This is a hands-on, greenfield leadership role reporting directly to the CTO. You will define the architecture, make technology decisions, build the foundation, and drive outcomes while partnering closely with the Data Engineering team.

The platform will support business analytics, operational reporting, and AI-driven capabilities across multiple markets and enterprise clients. A key objective is enabling secure AI access to trusted enterprise data through APIs and Model Context Protocol (MCP).

Key Responsibilities

• Define and own the enterprise data platform architecture, including Data Lake, Lakehouse, semantic layers, and data consumption frameworks.
  
• Design and oversee batch, streaming, and CDC-based data pipelines with strong orchestration, monitoring, and reliability.
  
• Build scalable data models across orders, inventory, fulfillment, logistics, marketplaces, billing, and platform performance.
  
• Establish governed KPI definitions, dashboards, and self-service analytics capabilities.
  
• Enable secure AI data consumption through APIs and MCP with proper access controls and tenant isolation.
  
• Implement data governance, quality, lineage, compliance, and PII/privacy controls.
  
• Ensure platform reliability through monitoring, SLAs, incident management, and operational runbooks.
  

Success Measures

First 90 Days

• Assess the existing data landscape and deliver an enterprise architecture roadmap.
  
• Launch the first production data pipeline and priority BI dashboard.
  
• Define KPI models for key business domains and deliver the first MCP-enabled AI data capability.
  

Within 6–12 Months

• Production-ready data platform with automated pipelines for priority datasets.
  
• Trusted business models and KPI definitions adopted across the organization.
  
• Secure AI data access architecture operational with initial MCP capabilities.
  
• Established governance, monitoring, lineage, quality, and cost management practices.
  

Required Skills & Experience

• 10+ years of experience in data engineering, data platforms, or data architecture with proven architecture ownership.
  
• Strong experience building enterprise Data Lake, Data Warehouse, or Lakehouse platforms.
  
• Expertise in SQL, data modeling, pipeline architecture, and cloud platforms (preferably AWS).
  
• Experience with data governance, data quality, lineage, compliance, PII protection, and privacy controls.
  
• Hands-on ability to validate designs and contribute during the early build phase while defining scalable standards.
  
• Experience in eCommerce, logistics, marketplace, or B2B SaaS environments is highly preferred.
  

Nice to Have

• Experience with MCP, LLM/AI integrations, RAG, semantic layers, or secure enterprise data access for AI systems.
  

Why Join Us?

This is a unique opportunity to build Anchanto's data platform from scratch. If you thrive in high-ownership environments and enjoy transforming business requirements into data and AI solutions, we'd love to hear from you.

This version is about 30% shorter, removes repetition, and keeps all critical information around architecture ownership, AI/MCP, governance, roadmap expectations, technical requirements, and business impact. It is suitable for Zoho Recruit, LinkedIn, and other job boards.

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 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.