Role : Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) :

Role Overview :

We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics.

The role requires deep technical seniority to audit, understand, and validate a complex end-to-end data architecture spanning source ingestion through to consumption and to drive a future migration of validated workloads to Databricks.

This is not a greenfield role : it demands the ability to reverse-engineer existing implementations, assess their correctness, and own the technical migration strategy.

Key Skills :

- Azure Synapse Analytics

- Azure Data Factory

- Azure Data Lake

- Databricks

- Spark

- SQL

- Data Warehouse

- ETL

- Data Migration

- Azure

Key Responsibilities :

- Architect and execute end-to-end migration strategies from legacy on-premise or cloud warehouses to Azure Synapse and Databricks environments to ensure seamless business continuity.

- Design and implement robust, scalable ETL/ELT pipelines using Spark and SQL to streamline data ingestion, transformation, and distribution for downstream analytics applications.

- Lead technical workshops and design reviews with stakeholders to align platform capabilities with evolving business requirements and performance benchmarks.

- Optimize existing data models and query performance to reduce operational costs and improve the reliability of mission-critical reporting dashboards.

- Mentor junior engineers and foster a culture of technical excellence, code quality, and best practices in cloud-native data engineering.

- Collaborate with DevOps and Security teams to implement automated CI/CD pipelines and ensure strict adherence to data governance and compliance standards.