Job Description :

Azure Data Engineer - Fabric

We are seeking a highly skilled and motivated Senior Data Engineer/s to architect and implement scalable ETL and data storage solutions using Microsoft Fabric and the broader Azure technology stack. This role will be pivotal in building a metadata driven data lake that ingests data from over 100 structured and semi structured sources, enabling rich insights through canned reports, conversational agents, and analytics dashboards.

Key Responsibilities :

- Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse ,warehouse, sql) and Azure Data Factory.

- Build and maintain a metadata driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.

- Develop agent specific data lakes and an orchestration layer for an uber agent that can query across agents to answer customer questions.

- Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.

- Ensure data quality, lineage, and governance across all ingestion and transformation processes.

- Collaborate with product teams to understand data needs and deliver scalable solutions.

- Optimize performance and cost across storage and compute layers.

Required Qualifications :

- 7 10 years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.

Strong expertise in :

- Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)

- Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2

- Power BI and/or other visualization tools

- Azure Functions, Logic Apps, and orchestration frameworks

- SQL, Python and PySpark/Scala

- Experience working with structured and semi structured data (JSON, XML, CSV, Parquet).

- Proven ability to build metadata driven architectures and reusable components.

- Familiarity with agent based architectures and conversational AI integration is a plus.

- Strong understanding of data modeling, data governance, and security best practices.

Preferred Qualifications :

- Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.

- Knowledge of CI/CD pipelines and DevOps practices for data engineering.

- Experience in building multi tenant data platforms or domain specific lakes.