Azure Data Lead/Architect (Fabric)

Job Type: Fulltime

Location: Pan India

Mode of work: Remote

Experience: 8+ Years

No of positions: 1

Work hours: 1.30 PM IST till 10.00 PM IST

Join Date: Immediate to 15 days

Role:

We are seeking a Data Engineer Lead with proven expertise in Microsoft Fabric or Azure to drive the design, development, and optimization of enterprise-grade data platforms. You will play a key role in shaping our modern data architecture leveraging Fabric’s capabilities (Lakehouse, Warehouse, Dataflows Gen2, Pipelines), while bringing strong experience in Azure Synapse, Databricks, and Azure Data Engineering.

Key Responsibilities:

• Lead the design and development of scalable data solutions using Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Dataflows Gen2, Notebooks).
• Architect robust Medallion Architectures (Bronze, Silver, Gold) on OneLake.
• Build advanced ETL/ELT pipelines using PySpark, SQL, and Fabric-native components.
• Design high-performance Dimensional Models (Star/Snowflake Schema) and Data Marts for enterprise BI and reporting.
• Implement best practices for data security, governance, and compliance (RBAC, RLS, Purview integration).
• Drive performance tuning, cost optimization, and workload management within Fabric.
• Mentor and guide junior engineers and provide technical leadership.
• Collaborate with data architects, business analysts, and stakeholders to translate requirements into scalable solutions.
• Contribute to DevOps/DataOps processes, including CI/CD pipelines, Git-based deployments, and automation for Fabric workloads.
• Stay updated with Microsoft Fabric enhancements and evaluate new features for adoption.

Required Skills and Experience:

• Minimum 3-year hands-on experience designing and implementing solutions in Microsoft Fabric or Azure (Lakehouse, Warehouse, Pipelines, Notebooks).
• 8+ years overall experience in Data Engineering and Data Platform Development.
• Deep expertise with:
  • Azure Synapse Analytics (dedicated & serverless SQL pools, Spark pools)
  • Azure Databricks (advanced PySpark, Delta Lake optimization)
  • Azure Data Factory, Azure Data Lake Gen2 architectures
• Strong programming and scripting skills:
  • SQL (complex queries, stored procedures, tuning)
  • PySpark (data wrangling, transformations)
  • Azure and/or Databricks AI Integration and products
• Advanced knowledge of:
  • Delta Lake, Time Travel, Schema Evolution
  • Data Warehouse / Data Lakehouse Design Principles
• Strong understanding of Power BI integration (DirectLake, Dataset management).