sradmin Position: Fabric Lead / Data Engineer (TT410ST RM 4366)
Experience : 6–10+ years overall experience, with 3+ years in Azure Data Engineering / Microsoft Fabric / Power BI
Role Overview
We are looking for an experienced Microsoft Fabric Lead to lead the design, development, and implementation of enterprise-scale data and analytics solutions using Microsoft Fabric, Azure Data Factory, Fabric Data Factory, Lakehouse, Warehouse, OneLake, PySpark, SQL, and Power BI.
The ideal candidate should have strong hands-on technical expertise combined with the ability to define architecture, establish engineering standards, mentor developers, manage delivery, troubleshoot complex production issues, and work directly with business and technical stakeholders.
Key Responsibilities
- Lead the architecture and implementation of Microsoft Fabric-based enterprise data platforms.
- Design scalable Lakehouse, Warehouse, OneLake, and Medallion Architecture solutions.
- Define standards and reusable frameworks for ETL/ELT, metadata-driven ingestion, incremental loading, data quality, and error handling.
- Lead migration and modernization initiatives from traditional Azure/SQL/Synapse/ADF platforms to Microsoft Fabric.
- Design and review Fabric Data Factory pipelines, Dataflow Gen2, Fabric Notebooks, PySpark and SQL transformations.
- Architect enterprise-grade data ingestion frameworks supporting multiple source systems.
- Establish Dev/Test/Prod architecture, Git integration, CI/CD, deployment pipelines, and release management.
- Define security and governance standards using Workspace RBAC, RLS, OneLake security, Microsoft Purview, and managed identities.
- Design and optimize Power BI semantic models, Direct Lake solutions, and enterprise reporting architectures.
- Troubleshoot complex issues involving pipeline failures, Spark performance, data quality, semantic models, refreshes, and Fabric capacity.
- Establish coding, naming, documentation, testing, and deployment standards across the data engineering team.
- Perform technical design and code reviews for Fabric pipelines, notebooks, SQL and Power BI solutions.
- Mentor and guide data engineers and Power BI developers on Fabric best practices.
- Work closely with business stakeholders, architects, analysts, and engineering teams to translate requirements into technical solutions.
- Own technical delivery, risks, dependencies, and production support for critical data platforms.
- Evaluate new Fabric capabilities and recommend appropriate technologies and architectural patterns.
Required Technical Skills
Microsoft Fabric
- Fabric Data Factory
- Fabric Lakehouse
- Fabric Warehouse
- OneLake
- Fabric Notebooks
- Dataflow Gen2
- Direct Lake
- Semantic Models
- Fabric Monitoring
Azure
- Azure Data Factory
- ADLS Gen2
- Azure SQL
- Azure Databricks
- Azure Synapse Analytics
- Azure Key Vault
Data Engineering
- PySpark
- Python
- SQL / T-SQL
- Delta Lake
- Medallion Architecture
- ETL/ELT
- Incremental / CDC processing
- Metadata-driven frameworks
- Data quality and validation
BI & Analytics
- Power BI
- DAX
- Semantic modeling
- Star schema
- Direct Lake
- Performance optimization
DevOps & Governance
- Azure DevOps
- Git/GitHub
- CI/CD
- Fabric Deployment Pipelines
- Microsoft Purview
- RBAC / RLS
- Data lineage and governance
Leadership Expectations
- Lead a team of 4–10 data engineers/developers.
- Conduct design and code reviews.
- Establish engineering best practices and reusable frameworks.
- Mentor junior and mid-level engineers.
- Own technical decisions and architecture discussions.
- Communicate technical concepts clearly to business stakeholders.
- Drive resolution of critical production issues.
- Ensure delivery quality, documentation, testing, and deployment discipline.
Preferred Qualifications
- Microsoft DP-700 – Fabric Data Engineer Associate
- Microsoft DP-600 – Fabric Analytics Engineer Associate
- Azure Data Engineering certifications
- Experience with large-scale enterprise Fabric implementations.
- Experience migrating from Synapse/ADF/Databricks/Power BI to Fabric
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