Technical Lead - MS Fabric

HGS is a global leader in customer experience management. With more than 18,000 employees spread across 9 countries, our mission is to make our clients more competitive by providing exceptional experiences. Powered by a people first philosophy and experience serving over 1100 of the world’s leading brands, HGS is the perfect place to build your future!

Job Title: Technical Lead – Microsoft Fabric (Analytics & Data Engineering)

Job Summary

We are seeking a Data Lead with 5–8 years of experience in data engineering, analytics, and BI, with strong hands-on expertise in Microsoft Fabric. The role will lead the design, implementation, and optimization of modern data platforms, enabling scalable analytics, real-time insights, and AI-ready data foundations across the enterprise.

Key Responsibilities

Data Platform Leadership

• Act as the Data Lead for solutions built on Microsoft Fabric.
• Own end-to-end data architecture, solution design, and delivery for analytics platforms.
• Define data standards, best practices, and governance aligned with enterprise needs.
  
  

Microsoft Fabric – Hands-on Responsibilities

• Design and implement data solutions using Microsoft Fabric components, including:
• OneLake
• Lakehouse
• Warehouse
• Data Pipelines
• Dataflows Gen2
• Real-Time Analytics (KQL)
• Build and optimize ETL/ELT pipelines for structured and semi-structured data.
• Implement medallion architecture (Bronze, Silver, Gold layers) in Fabric.
• Ensure performance tuning, cost optimization, and scalability of Fabric workloads.
  

Analytics & Visualization

• Design and deliver Power BI semantic models, reports, and dashboards integrated with Fabric.
• Enable self-service analytics while maintaining governance and data quality.
• Collaborate with business teams to translate data into actionable insights.
  
  

Data Modeling & Engineering

• Lead data modeling (star/snowflake schemas, dimensional modeling).
• Ensure strong data quality, validation, and lineage practices.
• Work with large datasets and optimize query performance.
  
  

Governance, Security & DevOps

• Implement data security, RBAC, and access controls in Fabric and Power BI.
• Define CI/CD and deployment strategies for data pipelines and BI artifacts.
• Support data governance initiatives including metadata management and auditability.
  
  

Team & Stakeholder Leadership

• Guide and mentor data engineers, BI developers, and analysts.
• Work closely with business stakeholders, architects, and IT teams.
• Drive data roadmap, priorities, and delivery commitments.
  
  

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Engineering, Analytics, or related field.
• 5–8 years of experience in data engineering, analytics, or BI roles.
• Hands-on experience with Microsoft Fabric (mandatory).
• Strong expertise in Power BI, SQL, and data modeling.
• Experience building data pipelines and lakehouse architectures.
• Solid understanding of data warehousing concepts and analytics patterns.
• Strong problem-solving, communication, and leadership skills.
  
  

Preferred Skills (Nice To Have)

• Experience with Azure Data services (ADF, Synapse, Azure SQL, ADLS).
• Exposure to real-time analytics and streaming data.
• Knowledge of AI/ML-ready data preparation.
• Microsoft Fabric or Power BI certifications.
• Experience working in Agile delivery environments.
  
  

Key Competencies

• Data architecture and solution ownership
• Strong hands-on leadership
• Business-oriented analytics thinking
• Governance and quality mindset
• Ability to scale platforms and teams
  
  

As an equal opportunity employer, HGS is dedicated to diversity, inclusivity and Equity. HGS does not discriminate on the basis of the race, ethnicity, religion, sex, national origin, age, veteran disability, or genetic information or any other reason prohibited by law in employment. We believe in the power of diversity to create an environment where every individual excels, and our diverse customer and colleague base is deeply understood.

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