Lead Azure Fabric Data Engineer

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Here's what the opportunity supported through our TGS Talent Acquisition Team requires:

Position Overview

We are seeking a highly skilled Lead Data Engineer with strong expertise in Microsoft Fabric and Azure analytics ecosystem to design and deliver modern, scalable data platforms.

The ideal candidate should be a good team player with 8 or more years of experience in data engineering with Microsoft technologies, deep hands-on expertise in Microsoft Azure Fabric platform (One Lake, Lakehouse, Data Factory pipelines, Synapse Data Engineering, Power BI), and preferably some experience with Azure AI/ML services.

This role requires expertise in designing, developing, and deploying secure, scalable, and high-performance cloud-native analytics solutions, mentoring engineering teams, and close collaboration with architects, AI Engineers, Data Scientists, and business stakeholders to deliver impactful, data-driven solutions.

This position will require up to 50% travel to customer sites as per project need.

Essential Functions

- Actively involved in requirement gathering workshops from customers, translating the functional requirements into technical solutions, and translating complex technical concepts into actionable insights for stakeholders

- Actively participates in architectural discussions independently or under guidance/supervision from Practice Architect to design and develop effective, efficient, reliable, secure, scalable, and cost-optimized data engineering solutions as per the overall data management strategy

- Design and implement modern data platform architectures using Microsoft Fabric, including:

o One Lake-based data Lakehouse architectures

o Data Factory pipelines within Fabric

o Synapse Data Engineering and Data Warehousing experiences

- Develop scalable data ingestion, transformation, and orchestration pipelines using Fabric-native tools and Azure services

- Design high-performance Lakehouse and Warehouse models following best practices (medallion architecture, dimensional modeling)

- Integrate Azure services such as Azure Data Factory, ADLS Gen2, Azure SQL, Databricks (optional)

- Build interactive and scalable Power BI semantic models and reports integrated with Fabric

- Implement CI/CD pipelines (Azure Dev Ops/Git Hub) for data and analytics workloads

- Ensure adherence to data governance, security, and compliance standards

- Mentor and guide junior engineers, drive best practices, and lead POD delivery

- Contribute to solution accelerators, reusable frameworks, and pre-sales activities

- Create prototypes and evaluate emerging tools and methodologies to drive innovation within the team

- Occasional support to Sales and Pre-Sales partners to convert opportunity to revenue through thought leadership in the designated area of expertise

Mandatory Skills/Competencies

- Bachelor's or Master's degree in Computer Science, Engineering, or related field

- 8 or more years of experience in Data Engineering, with at least 3 or more years in Azure ecosystem

- Strong hands-on expertise in Microsoft Fabric, including:

o One Lake & Lakehouse architecture

o Data Factory in Fabric

o Synapse Data Engineering / Data Warehousing

o Power BI integration with Fabric

- Proficiency in Python, PySpark, SQL, and Spark-based processing

- Strong experience building data pipelines (batch and streaming)

- Expertise in data modeling (star/snowflake schemas, medallion architecture)

- Experience with Azure data services:

o Azure Data Factory / Synapse Pipelines

o ADLS Gen2

o Azure SQL / SQL MI

- Experience in CI/CD, version control, and Dev Ops practices

- Strong understanding of data governance, security, and access control (RBAC, IAM, encryption)

- Experience working with structured, semi-structured, and unstructured data sources

- Strong problem-solving, communication, and stakeholder management skills

- Excellent verbal and written communication skills.

- Ability to work cross-functionally with product managers, business stakeholders, and engineering teams

- Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies

Preferred Qualifications

- Microsoft certifications such as:

o Fabric Analytics Engineer Associate

o Fabric Data Engineer Associate

o Azure AI Engineer Associate

o…