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Fabric Data Architect_96770

MyCareernet

2 - 5 years

Hyderabad

Posted: 21/03/2026

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Job Description

Company:IT Services Organization

Key Skills: Pyspark, Microsoft fabric, Data architecture, Azure, Python, Azure SQL, Azure Synapse, Azure Databricks, Azure Data lake, Data modeling, Power BI, Compliance, Cloud Data Governance and Catalog

Roles and Responsibilities:

  • Design and implement data architecture solutions using Microsoft Fabric and Azure technologies.
  • Develop and manage Fabric Lakehouse architecture including data pipelines and analytics models.
  • Collaborate with cross-functional teams to integrate data platforms with Power BI and other analytics tools.
  • Ensure data governance, security, compliance, and data lineage across the data ecosystem.
  • Lead data modeling efforts including dimensional and lakehouse-based models.
  • Provide technical leadership and mentorship to data engineers and architects.
  • Optimize data processing, storage, and analytics performance across cloud platforms.
  • Stay updated with industry trends and best practices in data architecture and cloud technologies.

Skills Required:

  • Strong experience in Microsoft Fabric for building modern data platforms and lakehouse architectures.
  • Expertise in Azure cloud services including Azure SQL for data storage and management.
  • Proficiency in Python and PySpark for large-scale data processing and transformation.
  • Strong understanding of data architecture principles and enterprise data platform design.
  • Experience in data modeling including dimensional modeling and lakehouse architectures.
  • Knowledge of Azure Data Lake for managing structured and unstructured data.
  • Familiarity with Azure Synapse and Azure Databricks for advanced analytics and big data processing.
  • Experience integrating Power BI for reporting and visualization.
  • Strong understanding of cloud data governance, compliance, and data cataloging frameworks.
  • Ability to lead and mentor teams while driving architectural best practices.

Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

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