Role description
Senior Databricks Data Platform Engineer
Location Canada
Department Enterprise Data Engineering Team Data Platform Engineering
Role Overview
As a Senior Databricks Data Platform Engineer at McAfee you will own the engineering automation and daytoday health of our enterprise Databricks Lakehouse platform This is a platformfirst role rather than building individual business pipelines you will build the foundation that every data engineer analyst and data scientist at McAfee depends on including workspaces compute Unity Catalog governance deployment pipelines and the guardrails that keep the platform secure reliable and costefficient
You will treat the platform as a product That means codifying infrastructure and configuration delivering changes through fully automated CICD introducing agentic AI workflows that reduce manual operational effort and continuously driving down compute and storage cost while improving performance You will combine deep handson Databricks expertise with a FinOps and DevOps mindset and you will measure your success in platform reliability developer productivity and dollars saved
This is a highly collaborative role You will partner with data engineering data science security cloud infrastructure and finance teams to set platform standards guide adoption of new Databricks capabilities and mentor engineers across the organization
About the role
Databricks Platform Engineering Administration
Own the architecture configuration and lifecycle of McAfees Databricks environments across development test and production including workspaces accountlevel settings networking and identity integration
Administer and evolve Unity Catalog including metastores catalogs schemas external locations storage credentials and finegrained access controls
Design and enforce compute strategy across allpurpose clusters job clusters serverless compute SQL warehouses instance pools and cluster policies
Manage platform upgrades Databricks Runtime adoption feature previews and deprecations with minimal disruption to consuming teams
Build reusable platform templates starter projects and selfservice capabilities that let engineering teams onboard quickly and consistently
CICD Platform Automation
Design build and maintain CICD pipelines for Databricks code and configuration using Databricks Asset Bundles Git folders and Azure DevOps or GitHub Actions
Codify platform infrastructure with Terraform Databricks and cloud providers ensuring every workspace cluster policy permission and Unity Catalog object is versioncontrolled and reproducible
Implement automated testing code quality gates security scanning and promotion workflows from development through production
Establish branching release and rollback standards for notebooks jobs Delta Live Tables Lakeflow pipelines and ML assets
Automate routine administration such as user and group provisioning SCIM secret management token rotation and environment drift detection
Agentic Workflows AIEnabled Operations
Design and deploy agentic workflows that automate platform operations such as job failure triage rootcause analysis cost anomaly investigation and remediation recommendations
Build AI agents and tools on Databricks Mosaic AI Agent Framework Model Serving Vector Search and integrate them with enterprise systems through Model Context Protocol MCP
Use Copilot and Anthropic models to accelerate infrastructureascode pipeline development code review and documentation
Establish guardrails evaluation observability and humanintheloop controls so agentic automation is safe auditable and trusted
Partner with data science and engineering teams to provide a governed platform foundation for GenAI RAG and ML workloads
Platform Cost Optimization FinOps
Own Databricks cost visibility and accountability using system tables billing usage compute and query history tagging standards and chargeback or showback reporting
Identify and deliver savings through cluster rightsizing autotermination autoscaling tuning spot and reserved capacity strategies Photon and serverless evaluation and workload consolidation
Enforce cost guardrails through cluster policies budget s and compute governance that prevent waste without slowing teams down
Build dashboards and automated s that surface cost anomalies idle resources and optimization opportunities to engineering and finance stakeholders
Partner with finance and procurement on DBU commitments forecasting and capacity planning
Storage Performance Optimization
Define and enforce Delta Lake storage standards including file sizing liquid clustering Zordering partitioning strategy and deletion vectors
Automate table maintenance using predictive optimization OPTIMIZE VACUUM and retention policies to control storage growth and improve query
Skills
Mandatory Skills : Databricks
Good to Have Skills : Azure Databricks
Benefits
Compensation range: $73.00 to $76.00 per hour
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert
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