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Data Architect - Microsoft Fabric

Data Architect - Microsoft Fabric

Prophecy TechnologiesHyderabad
27 days ago
Job description

Role Overview :

We are seeking a highly experienced Microsoft Fabric Data Architect with deep expertise in designing, building, and optimizing large-scale data architectures and solutions on the Microsoft Fabric platform.

The ideal candidate will have a strong background in enterprise data strategy, modern data engineering practices, cloud-based analytics, and a solid understanding of data governance, scalability, and performance optimization.

Key Responsibilities :

  • Architect and design enterprise-scale data solutions leveraging Microsoft Fabric (Data Factory, Dataflows, Lakehouse, Data Warehouse).
  • Define data architecture standards, patterns, and best practices across Fabric components.
  • Provide technical leadership in integrating data from diverse sources (on-prem, cloud, APIs) into the Fabric ecosystem.
  • Design and oversee implementation of advanced data transformation and enrichment processes using Dataflows Gen2, Notebooks, and Spark.
  • Partner with analytics, BI, and business stakeholders to define data strategy ensuring availability, accuracy, scalability, and performance.
  • Architect storage strategy on OneLake ensuring security, performance, and cost optimization.
  • Define and review enterprise data models to support Power BI reporting and advanced analytics.
  • Establish governance, compliance, security, and privacy standards within the Fabric data ecosystem.
  • Provide leadership in troubleshooting, performance optimization, and reliability improvements of mission-

critical data platforms.

  • Guide and mentor engineering teams, driving technical excellence in an Agile delivery environment.
  • Required Skills & Qualifications :

  • 10+ years of experience in Data Architecture, Data Engineering, or related fields.
  • Strong expertise in Microsoft Fabric components : Data Factory, Dataflows Gen2, Lakehouse, Data Warehouse, and OneLake.
  • Advanced proficiency in SQL and Spark (PySpark / Scala).
  • Proven experience in architecting solutions integrating multiple structured and unstructured data sources.
  • Expertise in enterprise data modeling (star / snowflake schemas) and large-scale ETL / ELT architectures.
  • Hands-on experience with Power BI and DAX for enterprise-grade analytics integration.
  • Knowledge of Azure Data Services (Azure Data Lake, Synapse Analytics, Azure Databricks) is a strong plus.
  • Strong leadership, communication, and collaboration skills with the ability to drive data strategy at scale
  • (ref : hirist.tech)

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