Job Purpose
To effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB) , Azure Data Factory (ADF) and SQL along with leading 3 to 5 members of developersDuties and Responsibilities
KEY RESPONSIBILITIES
• Lead the end-to-end design, development, and delivery of scalable data engineering solutions using Azure Databricks, ADF, PySpark, SQL, and Delta Lake.
• Convert business requirements into robust technical designs, architecture documents, data models, and implementation plans.
• Own technical delivery of data integration, ETL, lakehouse, semantic layer, and AI/BI enablement initiatives.
• Guide and mentor data engineers on coding standards, design best practices, performance optimization, and reusable framework development.
• Review technical designs, code, pipelines, and deployment plans to ensure quality, scalability, maintainability, and compliance.
• Drive architecture decisions for batch and near-real-time data pipelines across Bronze, Silver, and Gold layers.
• Ensure data quality, reconciliation, anomaly detection,



and timely resolution of production issues through effective RCA and permanent fixes.
• Optimize data pipelines, Databricks jobs, SQL queries, and storage usage to improve performance and reduce cost.
• Implement CI/CD practices, version control, automated deployments, and workplace management across Dev, QA, and Production.
• Collaborate with PMO, business stakeholders, BI teams, InfoSec, DevOps, and external partners for smooth project execution.
• Establish SOPs, engineering standards, reusable components, monitoring frameworks, and documentation practices.
• Track delivery progress, manage technical dependencies, prioritize work, and ensure timely closure of project milestones.
• Support adoption of modern data platforms, semantic modeling, metrics layer design, and GenAI/BI capabilities.
• Ensure compliance with data governance, security, access control, audit, and enterprise data manageme

📌 Associate Delivery Manager (Pune)
🏢 Bajaj Finance
📍 Pune