Job Summary

We are looking for an experienced Data Engineering Modernization Architect to lead the transformation of legacy data platforms, ETL pipelines, and data warehouses into modern, scalable, cloud-native data platforms. The architect will define the target-state data architecture, modernization strategy, migration roadmap, engineering standards, and reusable frameworks. The role requires a solid combination of architecture, hands-on engineering, cloud technologies, data modeling, migration, performance optimization, and automation. The ideal candidate should have successfully delivered at least two enterprise-scale data engineering modernization projects, involving migration from legacy ETL/data warehouse technologies to platforms such as Databricks and Microsoft Fabric, One Lake with Azure Data Factory or equivalent orchestration.

Key Responsibilities

- Lead modernization of legacy data platforms, ETL/ELT processes and data warehouses into modern cloud-based architectures.




- Assess existing data platforms, pipelines, databases, ETL jobs, data models and workloads.
- Define As-Is, To-Be and transition architectures, Develop modernization roadmaps, Identify opportunities to simplify and consolidate legacy data pipelines, Define reusable modernization patterns and frameworks.

Key Skills Requirement

- Databricks Lakehouse architecture
- PySpark
- Delta Lake
- Delta Live Tables
- Unity Catalog
- Databricks SQL
- Change Data Capture
- Schema evolution
- Azure Data Factory ADF pipelines

Experience

12 - 15 Years

Job Type

Full time

Location

Tamil Nadu, India

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineering Modernization Architect (Chennai)
🏢 Kumaran Systems
📍 Chennai