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 CatalogRoles 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