Data Solutions Architect

Data Engineer lead

Role Overview

The Senior Data Engineer will design and implement scalable, secure, and high-performance data solutions using the Azure Data Stack . The role focuses on building reliable data pipelines, ensuring data quality, and enabling downstream analytics and AI workloads through well-structured, governed, and performant data models.

Key Responsibilities

• Design, build, and maintain ETL / ELT pipelines using Azure Data Factory (ADF) and Synapse Pipelines .
• Develop and manage data lakes and data warehouses on Azure Data Lake Storage (ADLS) and Azure Synapse Analytics .
• Integrate data from multiple sources — including core banking, CRM, trading, and partner systems — into unified data models.
• Build parameterized pipelines , implement data validation , and automate ingestion and transformation workflows.
• Collaborate with Cloud Architects , Data Scientists , and BI Teams to enable high-quality, reusable data assets.
• Establish data partitioning , indexing , and incremental load strategies for performance optimization.
• Enable pipeline orchestration , logging , and error handling using ADF features and Azure Monitor.
• Integrate CI / CD workflows via Azure DevOps for deployment automation and version control.
• Ensure data security, encryption, masking, and retention policies aligned with RBI / SEBI guidelines.
• Contribute to data governance, cataloging, and lineage tracking using Azure Purview or equivalent tools.

Technical Skills

Experience

Job Location : Bangalore (initially will have to work from our Kochi Office, as Bangalore office is yet to open)