Role Description

Sr Data Platform Engineer Tenant Consolidation: Contribute to the architectural design and execution strategy to merge separate Databricks workspaces or Snowflake accounts into a unified platform. Metadata & Catalog Unification: Consolidate data catalogs, aligning separate Unity Catalogs or Snowflake Shares into a single, company-wide governance model. Security & Access Alignment: Audit and merge distinct security models, unifying IAM roles, active directory syncs, and row/column-level access controls. Pipeline & Code Migration: Refactor and migrate legacy ETL/ELT pipelines, Spark workflows, and orchestration routines to point to the new unified tenant. Cost & Asset Optimization: Identify overlapping data assets, compute resources, and storage tiers during the merge to optimize cloud spend. Technical Requirements Cloud Infrastructure: Proven experience managing AWS ecosystems (S3, IAM, CloudTrail, VPC, Route53) with an emphasis on cross-account access.



Data Platform Mastery: Deep expertise in Databricks (workspace administration, Delta Lake, Photon) OR Snowflake (multi-account management, Snowpark, Virtual Warehouses). Infrastructure as Code (IaC): Solid experience writing Terraform scripts to provision and replicate workspace configurations. Development Skills: Python and SQL skills, with experience auditing and refactoring code written by other teams. Experience and Qualifications 4-6 years of experience in Data Platform Engineering, or Data Architecture. good to have Prior experience working on data platform migrations, cloud account consolidations, Ability to act as a technical lead, mapping out migration schedules and coordinating tasks with the mid-level engineer.

Skills

AWS, Data Engineering, Databricks, Python

📌 Lead II (Bengaluru)
🏢 UST
📍 Bengaluru