Senior Data Engineer - Microsoft Fabric & Power BI

Position Summary
We are seeking an experienced Senior Data Engineer with strong expertise in Microsoft Fabric, Power BI, and modern data engineering practices to lead the design, development, and implementation of an enterprise data platform. The ideal candidate will be responsible for building scalable data pipelines, implementing Medallion Architecture (Bronze, Silver, Gold), optimizing analytics workloads, and partnering closely with business stakeholders and client teams to deliver data-driven solutions.
This role requires a combination of hands-on technical expertise, solution architecture capabilities, stakeholder management, and strong client communication skills.
Experience
8+ years of Data Engineering experience with 3+ years in Azure/Fabric and strong Power BI implementation experience in enterprise-scale environments.
Key Responsibilities
Data Engineering & Platform Development
Design and implement scalable data platforms using Microsoft Fabric and OneLake.
Develop and maintain data ingestion, transformation, and orchestration pipelines using Fabric Data Factory.
Build and optimize PySpark/Spark notebooks for data processing and business transformations.
Implement Medallion Architecture (Bronze, Silver, Gold) to support governed analytics.
Design and implement metadata-driven ingestion frameworks and reusable engineering components.
Develop incremental load strategies using watermarks, CDC, and change-tracking techniques.
Build and manage SQL Warehouses and curated data models for business consumption.
Implement data quality validations, reconciliation processes, and monitoring frameworks.
Power BI & Analytics
Design and optimize Power BI semantic models and datasets.
Develop scalable star-schema data models and conformed dimensions.
Create reusable measures, calculation groups, and reporting standards.
Optimize Power BI reports using Direct Lake, Import, and Composite models.
Reduce complex DAX logic by moving business transformations upstream into engineering layers.
Implement Row-Level Security (RLS) and governance controls.
Architecture & Governance
Define enterprise data architecture standards and best practices.
Implement data lineage, monitoring, observability, and governance frameworks.
Establish Dev/Test/Prod deployment strategies and CI/CD pipelines.
Manage security using RBAC, managed identities, and Azure Key Vault.
Drive data governance initiatives including metadata management and auditability.
Client & Stakeholder Engagement
Act as the primary technical point of contact for client stakeholders.
Conduct discovery workshops, requirements gathering sessions, and solution design discussions.
Translate business requirements into scalable technical solutions.
Present architecture recommendations, progress updates, and implementation roadmaps to leadership teams.
Collaborate with business users, analysts, architects, and project managers across onshore and offshore teams.
Provide technical mentorship and guidance to junior engineers.
Required Skills & Experience
Microsoft Fabric
5+ years of data engineering experience with at least 2+ years in Microsoft Fabric.
Strong experience with:
Microsoft Fabric
OneLake
Fabric Data Factory
Fabric Warehouses
Lakehouse
Dataflows Gen2
Direct Lake
Deployment Pipelines
Fabric Monitoring and Governance
Data Engineering
Strong expertise in:
PySpark
Apache Spark
SQL
Data Modeling
ETL/ELT Development
Metadata-Driven Frameworks
Data Quality Management
Incremental Loads and CDC
Watermark-Based Processing
Performance Optimization
Power BI
Enterprise Power BI architecture and development.
Semantic model design.
Star schema and dimensional modeling.
DAX optimization.
Row-Level Security (RLS).
Power BI Administration and Governance.
Azure Ecosystem
Experience With
Azure Data Lake Storage (ADLS)
Azure Key Vault
Azure DevOps
Microsoft Entra ID
Azure Monitor
Git-based CI/CD practices
Data Governance & Security
Data lineage and observability.
RBAC and access management.
Data privacy and PII masking.
Production support and platform monitoring.
Client-Facing & Soft Skills
The ideal candidate must demonstrate:
Strong client communication and presentation skills.
Experience leading architecture and design discussions with senior stakeholders.
Ability to explain technical concepts to business audiences.
Experience conducting workshops, requirements sessions, and knowledge transfer sessions.
Strong documentation and solution design skills.
Ability to independently manage client interactions and stakeholder expectations.
Experience working in global delivery models with onshore and offshore teams.
Preferred Qualifications
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Power BI Data Analyst Associate (PL-300)
Experience with Dataverse, Dynamics 365, and Power Platform data integration.
Experience migrating from Synapse, Data Lake, or legacy BI platforms to Microsoft Fabric.
Nice-to-Have Experience
Dynamics 365 / Dataverse analytics.
Metadata-driven accelerator frameworks.
Enterprise data governance programs.
AI/Copilot integration with Fabric and Power BI.
Manufacturing, Operations, or ERP analytics environments.

Work arrangement
Yes