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Data Lead AI & Modern Data Platform Experience : 8+ Years Location : Pune, Mumbai, Kochi, Hyderabad, Coimbatore, Chennai Type : Contract (C2C) We are looking for a Data Lead AI & Modern Data Platform with strong expertise in Microsoft Fabric, Databricks, Snowflake, and AI-enabled data platforms. The ideal candidate will lead enterprise-scale data engineering initiatives, define architecture standards, and build secure, scalable cloud data platforms that support analytics and GenAI workloads. Key Skills : - Microsoft Fabric, Databricks, Snowflake - Data Pipelines, Notebooks, Lakehouse, Data Warehouse - Semantic Models & Data Modeling - PySpark & Advanced SQL - Azure Cloud (Preferred) - AI/ML & GenAI Data Workflows - Data Governance, Security & Compliance - Power BI & Tableau - Team Leadership & Stakeholder Management Responsibilities : - Design and implement enterprise-scale data platforms using Microsoft Fabric, Databricks, and Snowflake - Define architecture standards, best practices, and scalable data engineering frameworks - Build and optimize data pipelines, Lakehouse, Data Warehouse, and Semantic Models - Drive technical decisions around data architecture, storage optimization, orchestration, and compute patterns - Enable AI/GenAI-ready data platforms and integrate ML solutions into enterprise workflows - Implement data governance, lineage, metadata management, security, and compliance standards - Establish platform observability, monitoring, performance tuning, and reliability practices - Collaborate with business, product, analytics, and engineering teams to deliver scalable data solutions - Develop interactive dashboards and reports using Power BI and Tableau - Lead technical teams, mentor engineers, and drive architecture decisions across multiple projects Good to Have : - Experience with Azure AI Services and GenAI implementations - Microsoft Fabric, Snowflake, or Databricks Certifications - Exposure to MLOps, Cloud Migration, and Enterprise Data Modernization - Strong understanding of distributed computing and large-scale cloud data platforms Data Lead AI & Modern Data Platform Experience : 8+ Years Location : Pune, Mumbai, Kochi, Hyderabad, Coimbatore, Chennai Type : Contract (C2C) We are looking for a Data Lead AI & Modern Data Platform with strong expertise in Microsoft Fabric, Databricks, Snowflake, and AI-enabled data platforms. The ideal candidate will lead enterprise-scale data engineering initiatives, define architecture standards, and build secure, scalable cloud data platforms that support analytics and GenAI workloads. Key Skills : - Microsoft Fabric, Databricks, Snowflake - Data Pipelines, Notebooks, Lakehouse, Data Warehouse - Semantic Models & Data Modeling - PySpark & Advanced SQL - Azure Cloud (Preferred) - AI/ML & GenAI Data Workflows - Data Governance, Security & Compliance - Power BI & Tableau - Team Leadership & Stakeholder Management Responsibilities : - Design and implement enterprise-scale data platforms using Microsoft Fabric, Databricks, and Snowflake - Define architecture standards, best practices, and scalable data engineering frameworks - Build and optimize data pipelines, Lakehouse, Data Warehouse, and Semantic Models - Drive technical decisions around data architecture, storage optimization, orchestration, and compute patterns - Enable AI/GenAI-ready data platforms and integrate ML solutions into enterprise workflows - Implement data governance, lineage, metadata management, security, and compliance standards - Establish platform observability, monitoring, performance tuning, and reliability practices - Collaborate with business, product, analytics, and engineering teams to deliver scalable data solutions - Develop interactive dashboards and reports using Power BI and Tableau - Lead technical teams, mentor engineers, and drive architecture decisions across multiple projects Good to Have : - Experience with Azure AI Services and GenAI implementations - Microsoft Fabric, Snowflake, or Databricks Certifications - Exposure to MLOps, Cloud Migration, and Enterprise Data Modernization - Strong understanding of distributed computing and large-scale cloud data platforms
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