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Principal Architect (Data Architect), Applied AI Engineering

Principal Architect (Data Architect), Applied AI Engineering

Icertis

18 - 23 years

50 - 60 Lacs

pune

Posted:2 hours ago| Platform:

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Skills Required

advanced analytics erp architecture data modeling contract management microsoft middleware sql crm data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

Principal Architect to design and Architect AI products.

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.
Bachelor s or Master s in Computer Science, Data Engineering, or related field.
15+ years of experience in data architecture roles with enterprise-scale systems.

Nice to have:
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

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.

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Principal Architect (Data Architect), Applied AI Engineering