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Role overview
Join an Infrastructure team that operates the data platform as a product, with a focus on reliability, performance, and end-to-end ownership. You will lead technical decisions, shape the operating model, and partner closely with product teams and vendors to keep the platform healthy, cost-efficient, and aligned with business needs.
Responsibilities
• Build and maintain infrastructure as code for the data platform, including Terraform modules, CI/CD pipelines, and change management practices.
• Own platform operations, governance, and lifecycle for Snowflake and Databricks, including workspace and account design.
• Drive cost management and partner with FinOps teams on forecasting, chargeback, and optimization across both platforms.
• Implement observability and operational readiness through monitoring, alerts, dashboards, runbooks, and on-call practices.
• Coordinate with product teams and vendors to track vendor roadmaps and align platform capabilities with product requirements.
Requirements
• Significant hands‑on experience managing Databricks infrastructure at scale in production environments.
• Demonstrated track record delivering reliability and observability for high‑scale SaaS platforms, including SLOs, alerting, and incident response.
• Advanced proficiency in Python and SQL for data engineering and platform automation work.
• Strong background in infrastructure as code, CI/CD, and modern change management workflows.
Benefits and work setup
• Hybrid work arrangement noted on the listing.
• Reasonable accommodations available throughout the recruitment process for candidates with disabilities.
• Applications welcomed from candidates with non‑linear backgrounds; transferable skillsets are valued.
The role centers on running and evolving large-scale Databricks and Snowflake environments, treating them as a unified backbone for analytics and ML workloads.
Nice to have
• Snowflake experience covering warehouse tuning, governance, and Terraform/DDL provisioning.
• Experience designing and operating a hybrid platform that integrates Databricks and Snowflake together.
• Strong Spark skills, including tuning, partitioning strategies, and optimizing large‑scale jobs.
• Familiarity with security and governance best practices across both platforms.
• Delta Lake and lakehouse expertise, including table formats, CDC, compaction, and storage layout optimization for interoperability.
