Lead Azure Fabric Data Engineer

Role Description

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 (OneLake, 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:
  • OneLake-based data Lakehouse architectures
  • Data Factory pipelines within Fabric
  • 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 DevOps/GitHub) 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.

Qualifications

• 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:
  • OneLake & Lakehouse architecture
  • Data Factory in Fabric
  • Synapse Data Engineering / Data Warehousing
  • 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:
  • Azure Data Factory / Synapse Pipelines
  • ADLS Gen2
  • Azure SQL / SQL MI
• Experience in CI/CD, version control, and DevOps 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:
  • Fabric Analytics Engineer Associate
  • Fabric Data Engineer Associate
  • Azure AI Engineer Associate
  • Azure Solutions Architect Expert
• Experience with Databricks or Synapse Spark pools.
• Familiarity with real-time analytics and streaming architecture.
• Exposure to data governance tools (Purview or equivalent).
• Experience in building enterprise-scale data platforms.

Supervisory/Leadership Responsibilities

• Lead POD/team delivery and ensure high-quality, timely execution.
• Mentor junior engineers and conduct knowledge-sharing sessions.
• Participate in Agile ceremonies (planning, retrospectives, backlog grooming).
• Function as a technical point of contact for stakeholders and clients.

Job Type & Location

This is a Permanent position based out of Atlanta, GA.

Pay and Benefits

The pay range for this position is $127100.00 - $190700.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification.

• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life and AD&D for employee and dependents)
• Short and Long-Term Disability
• Health Spending Account (HSA)
• Transportation Benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jul 27, 2026.