Senior Data Architect

Job Description:

Work Location: Bangalore/HyDerabad

Primary Skills:

Recent 5+ years of experience working with Azure Data Engineering solutions including ADF, Synapse, and orchestration of end-to-end data pipelines. 5+projects

4+ years of experience in defining architecture blueprints for scalable data & analytics solutions, including cloud data platforms.

4+ years of hands-on experience with Databricks, at least 4 projects

2+ years of experience in Power BI

Around 1 year experience in Fabric DE

7+ years translating business requirements into technical specifications and delivering end-to-end BI and data solutions.

Customer & Architecture:

Proven experience collaborating with Business & IT teams on requirement gathering and solution design.

Extensive experience preparing architecture blueprints for scalable data and analytics platforms.

Independently created HLDs and LLDs for BI and data engineering solutions including data models, pipelines, and reporting layers.

Azure Data Engineering / Databricks / Modelling:

5+ years of hands-on experience with Azure Data Engineering services including Azure Data Factory (ADF), Synapse Analytics, and Data Lake Storage for orchestrating and managing end-to-end data pipelines.

4+ years of hands-on experience with Databricks, implementing ELT pipelines, notebooks, and ML-based data transformations across large-scale distributed datasets.

Strong experience in designing Gold layer and reusable semantic models for BI consumption and downstream applications.

Experience implementing CI/CD pipelines and monitoring frameworks for Azure-based data engineering workloads.

Led multiple Data Modernization Projects

Microsoft Fabric:

Worked with Direct Lake, One Lake, and Lakehouse's in Fabric

Built and orchestrated end-to-end data pipelines using Fabric Dataflows Gen2, Notebooks

Good to have experience working with Fabric Copilots

Power BI:

Experience in Power BI Pro, Premium

use of DAX, Power Query, and M language

Experience with Dataflows, Incremental Refresh