Senior Data Architect

Nextdim Tech Services; Gurugram District; Hybrid; INR 3,000,000 - 5,400,000; Full time

Job summary

NextDimension is seeking a Senior Data Architect to define and lead the architecture for a governed commercial data platform on Microsoft Fabric for a multi-region enterprise client. You will drive the landing zone design for CRM, POS, retailer portal, and inventory, from ingestion through conformed modeling, certified semantic models, and governance handover.

You will shape the medallion architecture, establish system-of-record boundaries with ERP/EDW, and lead data-quality and governance

Qualifications

• Deep expertise in enterprise data architecture, data engineering, or a related technical discipline.
• Hands-on Microsoft Fabric (or Synapse/Databricks) experience.
• Strong Salesforce CRM data models knowledge.

Responsibilities

• Define and lead architecture for a governed commercial data platform on Microsoft Fabric for a multi-region client.
• Lead landing zone design for CRM, POS, retailer portal, and inventory sources—from ingestion to conformed modeling, semantic models, and governance handover.
• Design medallion architecture and establish system-of-record boundaries with ERP/EDW; lead data-quality and governance across dimensions.

Skills

Microsoft Fabric

Synapse/Databricks

Salesforce CRM

Data architecture

SQL

Power BI modeling

Data governance

Lakehouse architecture

Data integration

Client-facing

Tools

Power BI

ERP/EDW

Job description

About The Team

The Data Platform team at NextDimension builds and maintains the governed data foundations that power our clients' go-to-market, commercial, and operational reporting. The team partners closely with client stakeholders, their internal platform and governance functions, business analysts, and cross-functional teams across Sales, Marketing, Supply Chain, and IT. Our work ensures that commercial data CRM, point-of-sale, retailer, and inventory — is accurate, consistent, secure, and actionable across every region a client operates in.

About The Role

As a Senior Data Architect, you will define and lead the architecture for a governed commercial data platform on Microsoft Fabric for a multi-region enterprise client.

You will lead the build of a landing zone spanning multiple CRM instances, point-of-sale, retailer portal, and inventory sources — from ingestion through conformed modeling, certified semantic models, and governance handover. You will design the medallion architecture, establish system-of-record boundaries with the client's existing ERP/EDW systems, and lead data-quality and governance initiatives across customer, product, and geography dimensions.

We're looking for people who combine strong technical expertise in enterprise data architecture with hands-on experience delivering complex Fabric or lakehouse environments. You should be comfortable working across architecture, data modeling, integration design, governance, and client leadership.

Job Requirements

• Have deep expertise in enterprise data architecture, data engineering, or a related technical discipline, with hands-on Microsoft Fabric (or Synapse/Databricks) experience.
• Have strong experience with Salesforce data architecture and CRM data models (leads, contacts, accounts, opportunities).
• Have successfully designed or migrated large, multi-source, multi-region commercial or CRM datasets.
• Understand master data management, conformed dimensional modeling, metadata management, lineage, and governance.
• Have advanced SQL and hands-on Power BI semantic modeling, DAX, and RLS design.
• Understand lakehouse architectures, cloud data warehouses, APIs, and data pipeline/integration platforms.
• Have experience defining data-quality rules, reconciliation processes, and measurable service levels.
• Can translate ambiguous business requirements into a scalable, phased delivery plan.
• Have experience integrating POS, retailer/EDI, or inventory data alongside CRM data.
• Have led cross-functional data modernization or platform-build programs, ideally in a client-facing context.