Data Architect

2 weeks ago

Hyderabad, India Prophecy Technologies Full time

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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