Key responsibilities
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Lead end-to-end design and delivery of Microsoft Fabric and Azure data-engineering solutions.
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Convert business and non-functional requirements into scalable technical designs.
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Define Lakehouse, Warehouse, medallion, data-domain, and serving-layer architecture.
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Design ingestion frameworks covering batch, incremental, CDC, API, and streaming patterns.
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Establish standards for notebooks, pipelines, SQL development, naming, logging, error handling, and testing.
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Optimize Fabric capacity consumption, Spark processing, SQL workloads, pipelines, and Power BI performance.
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Design secure access patterns using Microsoft Entra ID, managed identities, service principals, Key Vault, and role-based access controls.
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Implement Git integration, deployment pipelines, CI/CD, environment configuration, and release controls.
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Lead code reviews, technical troubleshooting, root-cause analysis, and performance remediation.
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Guide migration from Azure Synapse, Azure Data Factory, Power BI, Databricks, or legacy data platforms to Fabric.
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Mentor Level 1 and Level 2 engineers and conduct technical enablement sessions.
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Collaborate with architects, security teams, DevOps teams, product owners, and client stakeholders.
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Produce solution designs, technical specifications, deployment documents, and operational runbooks.
Mandatory technical skills
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Strong hands-on expertise in Azure data engineering and Microsoft Fabric.
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Advanced SQL, Python, and PySpark development skills.
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Strong experience with Lakehouse, One Lake, Delta Lake, Data Factory, Fabric Warehouse, and Power BI integration.
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Strong understanding of distributed processing and Spark optimization.
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Experience implementing metadata-driven and configuration-driven processing frameworks.
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Expertise in dimensional modelling, data warehousing, and analytical data products.
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Experience with CI/CD, Git branching, release management, and Infrastructure as Code.
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Strong knowledge of cloud security, network controls, data governance, and access management.
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Proven experience owning production implementations and resolving complex incidents.
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Ability to estimate work, identify delivery risks, and lead technical teams.
Preferred skills
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Experience with Microsoft Purview, data lineage, sensitivity labels, and governance.
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Experience with Fabric Real-Time Intelligence, Event streams, KQL, or event-driven architectures.
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Knowledge of Azure Databricks, Synapse Analytics, Event Hubs, Functions, Logic Apps, or API Management.
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Experience with capacity planning, workload isolation, monitoring, and cost optimization.
Relevant Microsoft Fabric, Azure Data Engineer, Power BI, or Azure Solutions Architect certification.
