Role & responsibilities

We are seeking a highly skilled Cloud Data Architect specialising in Microsoft Fabric to drive the organisations data transformation initiatives. The ideal candidate will define architecture strategy, design scalable data solutions, and lead migration initiatives across modern data platforms.

Primary Skills

- Strong experience in Microsoft Fabric ecosystem
- Hands-on with:
- Fabric Data Factory
- Fabric Synapse
- Power BI (nice to have with Fabric integration)
- Strong experience with Azure Data Platform services

Secondary Skills

- Azure Databricks / PySpark / SQL
- Data Lake, Data Warehouse, Lakehouse concepts
- Cloud migration strategies (AWS / Azure / Hybrid)
- ETL tools knowledge and comparison (ADF, Informatica, etc.)

Must-Have Expertise

- Deep understanding of data architecture patterns
- Experience with large-scale data migrations
- Solid knowledge of ETL/ELT tools and trade-offs
- Ability to independently design and deliver solution architecture
- Strong stakeholder communication and leadership skills

Key Responsibilities





- Define and execute a strategic vision for cloud-based data engineering, aligned with business goals.
- Architect and implement end-to-end data solutions using:
- MS Fabric
- Fabric Data Factory
- MS Fabric Synapse
- Azure Databricks
- Leverage MS Fabric AI capabilities, including:
- Notebook Copilot
- Data Factory (FDF) Copilot
- Design scalable ETL/ELT frameworks and reusable data pipelines.
- Perform greenfield implementations and brownfield migrations:
- AWS MS Fabric
- Azure Databricks MS Fabric
- Synapse MS Fabric
- Evaluate and onboard data engineering tools and technologies based on organisational needs.
- Collaborate with data scientists, analysts, and business stakeholders to deliver impactful solutions.
- Establish and enforce data engineering best practices, including:
- Data modelling standards
- Performance optimisation
- Governance and security

📌 MS Fabric, PBI Architect with Hexaware Technologies (Maharashtra)
🏢 Hexaware Technologies
📍 Maharashtra