Job Description – 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 Responsibilities

Lead the technical assessment and re-engineering of an existing enterprise data platform, spanning all layers from source ingestion through to data consumption
Reverse-engineer, document, and validate existing pipeline logic, data models, transformation frameworks, and data governance controls
Identify gaps, defects,



and technical debt across the platform and remediate where implementations are incorrect or sub-optimal
Ensure correctness of data processing patterns including change data capture, slowly changing dimensions, deduplication, and business reconciliation
Design and implement target-state architectures aligned to contemporary lakehouse principles, ensuring feature parity and business logic fidelity during transitions
Manage platform evolution initiatives, including parallel-run phases where multiple implementations operate simultaneously, validating output consistency before cutover
Define and execute migration strategies for existing workloads to modern data platforms, preserving existing governance and control framework semantics
Re-implement ingestion, transformation, and orchestration pipelines on target platforms, maintaining audit, quality, and reconciliation standards
Collaborate with business, data governance, and architecture stakeholders to validate e

📌 Senior Consultant-Data Engineer (Pune)
🏢 Allianz Services
📍 Pune