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