TI
Senior Lead – Databricks Platform Engineering
Tranzeal Inc.
🇮🇳 India
On-site
Staff / Principal
1 month ago
- Databricks
- GCP
- CI/CD
- FinOps
- Unity Catalog
- Devops
- SQL
- Terraform
- Git
- Delta Lake
- Python
- IaC
- IAM
- VPC
- MLOps
- MLflow
1 month ago
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Senior Lead – Databricks Platform Engineering
Enterprise Databricks Implementation Support on GCP
Salary: 25-26 LPA
Location: (Pune, Bangalore, Mumbai, Chennai, Bangalore, Hyderabad, Noida)
Role Positioning
This is a Senior Lead position, not an Architect position. The role will provide hands-on offshore engineering leadership for Databricks platform implementation activities, automation, configuration, governance rollout, CI/CD pipeline build-out, FinOps support, and operational documentation.
Role Details
Role Attribute: Location
Role Type: Senior Lead – Platform Engineering / Hands-on Delivery
Role Attribute: Primary Focus Details: Hands-on build, automation, configuration, documentation, and early-life platform support
Role Attribute: Platform Scope
Details: Databricks on GCP, Unity Catalog, CI/CD, DevOps, FinOps, SQL Warehouses, monitoring, and support readiness
Role Summary
The Senior Lead – Databricks Platform Engineering (Offshore) will execute and lead hands-on platform engineering tasks for an enterprise Databricks rollout on GCP. The role will work with the onshore Senior Lead and customer platform teams to implement Databricks foundations, CI/CD automation, Unity Catalog configuration, Databricks SQL enablement, monitoring, FinOps reporting support, and operational runbooks.
Key Responsibilities
- Execute platform engineering tasks aligned to the approved Databricks implementation backlog and customer platform direction.
- Configure Databricks workspaces, workspace settings, catalogs, schemas, storage credentials, external locations, and other platform components as assigned.
- Develop and maintain Terraform modules, scripts, and reusable automation assets for Databricks and related GCP platform components.
- Build CI/CD pipelines for notebooks, jobs, workflows, SQL assets, libraries, and Databricks Asset Bundles using approved Git and deployment tools.
- Implement Unity Catalog configurations, including grants, access controls, lineage validation, audit-related settings, and governance support tasks.
- Configure Databricks SQL warehouses, alerts, dashboards, and query performance support items for analyst and engineering teams.
- Implement cluster policies, job policies, SQL warehouse policies, logging, monitoring alerts, and operational health checks.
- Support FinOps reporting by validating tags, collecting usage metrics, preparing cost views, and identifying optimization opportunities.
- Troubleshoot workspace, job, cluster, SQL warehouse, deployment, permission, and connectivity issues.
- Create technical documentation, including deployment guides, configuration inventories, SOPs, runbooks, and knowledge transfer material.
- Coordinate with the onshore Senior Lead, customer platform teams, and internal delivery teams to close implementation tasks and support handover.
- Provide L2/L3 implementation and early-life platform support during rollout and stabilization.
Required Skills and Experience
- 8+ years of experience in data platform engineering, cloud engineering, DevOps, analytics engineering, or related implementation roles.
- Strong hands-on experience with Databricks implementation, administration, or platform engineering activities.
- Practical experience with Unity Catalog, Delta Lake, Databricks Workflows, Jobs, Clusters, SQL Warehouses, and Permissions.
- Strong Python, SQL, and scripting skills for automation, troubleshooting, and platform support.
- Hands-on experience with Git, CI/CD pipelines, Databricks Asset Bundles, and deployment automation.
- Experience with Terraform or equivalent Infrastructure as Code (IaC) tooling.
- Working knowledge of GCP foundations, including IAM, Service Accounts, GCS, Networking/VPC concepts, and Monitoring.
- Good understanding of access management, governance controls, audit requirements, and platform security practices.
- Experience creating implementation guides, runbooks, production support documentation, and knowledge transfer materials.
- Ability to independently lead offshore execution while collaborating closely with onshore and customer teams.
Preferred Skills
- Databricks Data Engineer Associate/Professional or equivalent practical certification.
- Experience with MLOps, MLflow, Model Registry, Model Serving, or Databricks platform extensions.
- Experience with usage reporting, dashboarding, cost tracking, and FinOps operational support.
- Exposure to enterprise data governance, security controls, platform observability, and production support models.
- Experience supporting post-implementation stabilization and steady-state platform operations.
Expected Deliverables
- Configured Databricks platform components based on the approved implementation backlog.
- Reusable Terraform/automation modules and deployment scripts.
- Working CI/CD pipelines for Databricks assets and environment promotion.
- Unity Catalog configuration artifacts, access control documentation, and validation evidence.
- Databricks SQL Warehouse setup documentation, performance notes, and operational checks.
- Monitoring, alerting, FinOps support reports, and platform support runbooks.
Senior Lead – Databricks Platform Engineering · Tranzeal Inc.