1. Role Overview
We are seeking a highly skilled Microsoft Fabric Data Engineer with strong expertise in building scalable data platforms and engaging directly with US-based clients. The ideal candidate will play a key role in designing, developing, and optimizing enterprise-grade data solutions, with a focus on data modeling, reporting optimization, and modern analytics architectures.
This role requires a blend of technical depth, business understanding, and client-facing communication skills.
Key Responsibilities
Data Engineering & Platform Development
- Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Notebooks)
- Build scalable data architectures leveraging medallion (Bronze/Silver/Gold) patterns and lakehouse models [GSL MS Fab...ument V1.3 | Word]
- Develop robust and optimized ETL/ELT pipelines for structured and semi-structured data
- Integrate data from multiple enterprise sources (SQL Server, APIs, cloud platforms)
Data Modeling & Reporting
- Design and develop semantic models and data models for reporting and analytics [ImpactNOW Proposal | PowerPoint]
- Build optimized data models (facts, dimensions, relationships) for Power BI reporting
- Enable Direct Lake / real-time analytics scenarios and reporting performance optimization
- Work closely with BI teams to ensure high-performing dashboards and reports
Client Engagement (US Clients)
- Interface directly with US stakeholders to understand business requirements and reporting needs
- Participate in requirement gathering, solution walkthroughs, and design discussions
- Translate business requirements into scalable technical solutions
- Provide regular status updates, demos, and technical insights to client teams
Architecture & Best Practices
- Define and implement Fabric-based data architectures aligned with enterprise standards
- Ensure data governance, data quality, and security best practices
- Optimize performance, scalability, and cost across data pipelines and storage
- Collaborate with architects and cross-functional teams
Requirements
Core Technical Skills
Strong experience with Microsoft Fabric / Azure Data Platform
Hands-on experience with:
- Fabric Lakehouse, Data Factory, Dataflows / Pipelines
- Power BI (Data modeling, DAX, performance tuning)
- SQL, Python, PySpark
- Expertise in data modeling (dimensional modeling, star/snowflake schemas)
- Experience building scalable data pipelines and distributed processing systems
Data Platform & Integration
Experience with:
- Azure Data Factory / Synapse / Databricks
- Data ingestion, transformation, and orchestration
- Understanding of data lake, data warehouse, and lakehouse architectures
Engineering Practices
- Experience with CI/CD, version control, and deployment pipelines
- Strong debugging, performance tuning, and problem-solving skills
Preferred Qualifications
- Experience with Direct Lake / Real-time intelligence (RTI) scenarios [Fabric + RTI | PowerPoint]
- Exposure to API integrations and application-level data consumption [GSL MS Fab...ument V1.3 | Word]
- Certifications in Microsoft Azure / Fabric / Power BI
- Experience in industry domains (Healthcare, Retail, Finance)
Experience Requirements
- 5–10 years of experience in Data Engineering
- Minimum 2+ years of experience in Microsoft Fabric or modern analytics stack
- Demonstrated experience in client-facing roles with US stakeholders [Re: Job De...a engineer | Outlook]
Key Competencies
- Strong analytical and problem-solving capability
- Business-oriented thinking with technical depth
- Ability to work independently and in global delivery teams
- Proactive mindset with ownership and accountability
Nice-to-Have
- Exposure to AI/ML integration within Fabric ecosystem
- Experience working in consulting or delivery-led environments
- Familiarity with Agile delivery models
Originally posted on