KEY RESPONSIBILITIES

- Define Microsoft Fabric architecture, implementation roadmaps and reusable enterprise design patterns.

- Design and build Data Factory pipelines for ingestion, transformation, orchestration and system integration.

- Architect Lakehouse and Warehouse solutions, including data organization, medallion patterns and workload alignment.

- Deliver Power BI solutions using robust semantic models, Direct Lake and appropriate connectivity patterns.

- Guide security, governance, monitoring, CI/CD, deployment and workplace-management practices.

- Integrate Fabric with Azure services and broader enterprise data and application platforms.

- Optimize capacity, query and pipeline performance; diagnose reliability and production issues.

- Lead design reviews, technical workshops, documentation and production-readiness assessments.

MANDATORY EXPERIENCE & TECHNOLOGY

- 12+ years of overall experience in enterprise data engineering, analytics, business intelligence or data-platform delivery.

- 3+ years of hands-on Microsoft Fabric experience, or equivalent recent delivery across Fabric and predecessor Microsoft analytics platforms; production implementation experience is essential.





- 5+ years with Azure data services and enterprise integration, including Data Factory, storage, identity, networking, APIs and databases.

- 3+ years in a solution-architecture, technical-lead or platform-lead capacity, working directly with business and engineering teams.

- Mandatory technologies: Fabric Data Factory, Lakehouse, Warehouse, OneLake, Power BI, semantic models, Direct Lake, SQL, Python or PySpark, Git and CI/CD.

- Practical expertise in Fabric security, governance, lineage, monitoring, capacity management, deployment pipelines, performance tuning and troubleshooting.

OPTIONAL / NICE TO HAVE

- Azure Databricks, Synapse Analytics, ADLS Gen2, Event Hubs, Stream Analytics, Purview, Key Vault, Azure DevOps or GitHub Actions.

- Real-time analytics, Eventstream, KQL databases, notebooks, Spark optimization, data quality frameworks and infrastructure as code.

- Logistics, transportation, supply chain, fleet, shipment or high-volume operational data experience.

- Microsoft Fabric, Azure Data Engineer, Azure Solutions Architect or Power BI certification; team mentoring and standards ownership.

SUCCESS PROFILE

📌 MS Fabric Data Architect (Bengaluru)
🏢 Datamatics
📍 Bengaluru