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Principal Data Architect @ Icertis

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 Principal Data Architect

Job Description

Principal Data Architect

We are seeking a Data Architect to define and govern the architecture for enterprise-scale data platforms supporting advanced analytics, AI/ML workloads, and Microsoft Fabric-based data warehousing. This role will ensure robust, secure, and scalable data solutions that enable deep research, dynamic reporting, and AI-driven insights across contracting data ecosystems.


Key Responsibilities


  • Data Architecture & Modeling
  • Design conceptual, logical, and physical data models for transactional, analytical, and AI-driven systems.
  • Define architecture for Microsoft Fabric Lakehouse/Data Warehouse and integration with existing Azure SQL and Blob storage.
  • Establish standards for schema design, partitioning, and indexing for performance and scalability.

  • Platform Strategy & Governance
  • Develop and enforce data architecture principles, governance policies, and security standards.
  • Define lineage, cataloging, and metadata management strategies.
  • Ensure compliance with regulatory and enterprise data privacy requirements.

  • Integration & Interoperability
  • Architect data flows between operational systems, Fabric, and downstream analytics tools (Power BI, AI pipelines).
  • Design APIs and middleware for seamless integration with ERP/CRM systems and AI services.
  • Enable RAG-based AI workflows by structuring data for embeddings and semantic search.

  • Performance & Optimization
  • Define strategies for query optimization, caching, and distributed processing.
  • Recommend storage tiers and cost-optimized architecture for multi-tenant and single-tenant deployments.

  • Collaboration & Leadership
  • Work closely with Data Engineers, DevOps, and CloudOps teams to implement architecture.
  • Provide technical leadership and mentoring for data modeling and best practices.
  • Partner with product teams to align architecture with roadmap and business goals.

Required Skills

  • Strong expertise in data architecture for cloud platforms (Azure preferred).
  • Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and Delta Lake concepts.
  • Proficiency in SQL, data modeling, and ETL/ELT design.
  • Knowledge of data governance, security, and compliance frameworks.
  • Familiarity with Azure security, RBAC, and compliance frameworks.
  • Familiarity with AI/ML data preparation, embeddings, and vector database technologies
  • Understanding of Power BI semantic modeling and advanced analytics integration.

Preferred Skills

  • Experience with multi-tenant SaaS architectures and large-scale data systems.
  • Exposure to GenAI/LLM integration and RAG-based architectures.
  • Knowledge of CI/CD for data pipelines and DataOps practices.

Education & Experience

  • Bachelors or Masters in Computer Science, Data Engineering, or related field.
  • 15+ years of experience in data architecture roles with enterprise-scale systems.

Job Classification

Industry: Software Product
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Icertis
Location(s): Pune

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Keyskills:   Azure Data Factory Synapse Microsoft Fabric Data Modeling SQL Data Architecture

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Icertis

This is a manufacturing, Trading and Retail Sales Company.\r\nProducts: Door, Chokhat, Plywood, Board etc.