The Lead Data Engineer will design, build, and operationalize scalable data solutions to support enterprise analytics and AI/ML initiatives. This role requires expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and the Azure ecosystem, with deep experience across data warehouses, data lakes, and real-time integration. The Lead Data Engineer will architect end-to-end pipelines using industry-standard tools, drive automation, and move solutions effectively into production. The incumbent will ensure compliance with data governance requirements (including GxP and HIPAA/GDPR) while building reusable, integrated pipelines and analytical models that promote self-service analytics. This role provides technical leadership across the team, mentors junior engineers, and partners with business stakeholders to align data engineering with organizational objectives.

About the Role. Data Architecture & Engineering

• Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.

• Design, build,



and maintain data pipelines from data sources through integration to consumption for specific use cases.

• Implement robust data modeling standards across bronze, silver, and gold layers in the data lake.

• Develop data models (conceptual, logical, and/or physical) as required.

• Optimize Spark and SQL workloads for performance, scalability, and cost efficiency.

• Manage metadata using data preparation, integration, and AI-enabled tools and techniques.

. Data Integration & Automation

• Drive automation in data integration; recommend and lead implementation of techniques to automate repeatable data preparation and integration tasks.

• Build API-based integrations (REST/JSON) and real-time ingestion frameworks.

• Automate data workflows using Azure DevOps pipelines and Git-based CI/CD practices.

•
Implement parameterized, reusable pipeline templates for ingestion and transformation.

• Develop automate

📌 Senior Data Engineer Bengaluru
🏢 Alimentiv
📍 Bengaluru