Technical Lead - Data Engineer

Job Description

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