Ms Fabric Architect

1 week ago

Bangalore Karnataka, India Spectral Consultants Full time

Key Responsibilities Design architect and implement end-to-end data solutions using Microsoft Fabric and related Azure technologies Lead Data Lakehouse implementations leveraging Medallion Architecture and best practices Collaborate with data engineers data scientists and business stakeholders to deliver scalable secure and high-performing data platforms Modernize data ecosystems by integrating on-premises and cloud data sources e g SQL DB ADLS Synapse Event Hub Salesforce APIs and SFTP Define and implement metadata-driven frameworks for efficient data engineering workflows Oversee Fabric workspace setup access provisioning capacity management and cost optimization Mentor junior engineers and promote best practices in coding architecture and data governance Contribute to the development of LLM GenAI-powered applications within the data ecosystem Ensure CI CD automation using Azure DevOps and Fabric Deployment Pipelines Stay current with evolving data and AI technologies to recommend and adopt innovative solutions Skills Experience Required 8 years of overall technical experience with at least 2 years hands-on in Microsoft Fabric preferably from an Azure Databricks Synapse background Proven experience leading 2 end-to-end Data Lakehouse projects on Microsoft Fabric Deep expertise in Fabric components Data Factory Notebooks PySpark Delta Live Tables Dataflow Gen2 Shortcuts Fabric Lakehouse Warehouse Copy Job Mirroring Event Stream KQL DB Fabric SQL DB Semantic Model optional Fabric Data Agent Strong programming and debugging skills in Python and SQL In-depth understanding of Fabric architecture component selection and cost optimization strategies Proficiency in data modeling Dimensional 3NF Exposure to Neo4j Cosmos DB and vector databases is desirable Experience with LLM GenAI applications and CI CD pipelines Azure DevOps Educational Qualification Bachelor s degree B E B Tech in Computer Science Information Technology or a related discipline from a reputed institute preferred

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