Senior Databricks Platform Infrastructure Developer

Role overview

Senior engineering role focused on the infrastructure that underpins large-scale data platforms built on Databricks (and Snowflake). The position blends platform engineering, SRE practices, and FinOps collaboration to keep two integrated data environments reliable, performant, and cost-efficient as enterprise workloads grow.

Responsibilities

• Build and maintain infrastructure-as-code for the data platform, including Terraform modules, CI/CD pipelines, and change-management workflows
• Own day-to-day operations, governance, and lifecycle of Databricks and Snowflake workspaces and accounts
• Drive cost management and partner with FinOps on forecasting, budgeting, and optimization across both platforms
• Implement observability and operational readiness through monitoring, alerting, dashboards, runbooks, and on-call practices
• Coordinate with internal product teams and external vendors to track roadmap features and align platform capabilities with product needs

Requirements

• Significant hands‑on experience managing Databricks infrastructure at enterprise scale
• Proven track record delivering reliability and observability for high-scale SaaS, including defining SLOs, building alerts, and running incident response
• Advanced proficiency in Python and SQL for automation, tooling, and data engineering tasks

Nice to have

• Snowflake experience, including warehouse tuning, governance, and Terraform/DDL provisioning
• Background designing or operating a hybrid data platform that integrates Databricks and Snowflake
• Strong Spark skills for tuning, partitioning, and improving performance of large jobs
• Familiarity with security and governance best practices on both platforms
• Delta Lake and lakehouse expertise, including table formats, CDC, compaction, and storage layout optimization

Benefits and work setup

• Hybrid work model with on-site collaboration
• Inclusive hiring practices with accommodations available during the recruitment process