About The Position

As a Senior Software Developer within the Data Platform’s Infrastructure team, you will lead efforts to improve the reliability, cost efficiency and platform enablement of both Snowflake and Databricks. You will own the operating model for these platforms, the infrastructure as code that deploys them, and the performance and operational practices that keep them healthy. You will join a team that treats infrastructure as a product and that focuses on reliability, performance and ownership. Your technical leadership will shape how our data platforms evolve and scale across the company.

Requirements

  • Strong experience managing a Databricks infrastructure at scale
  • Proven track record delivering reliability and observability for high-scale SaaS, including SLOs, alerts, and incident response
  • Advanced Python and SQL skills

Nice To Haves

  • Snowflake experience, including warehouse tuning, governance, and terraform/ddl provisioning
  • Experience designing and operating a hybrid data platform that integrates Databricks and Snowflake
  • Strong Spark skills for tuning, partitioning knowledge, and improving performance of large jobs
  • Knowledge of security and governance best practices on both platforms
  • Delta Lake and lakehouse expertise: experience with table formats, CDC, compaction, and storage layout optimizations that improve performance and enable efficient interoperability between Databricks and Snowflake

Responsibilities

  • Build and maintain infrastructure as code for the Data Platform, including Terraform modules, CI CD pipelines and change management
  • Own Snowflake and Databricks platform operations, governance and lifecycle, including workspace and account design
  • Define cost management and collaborate with FinOps on forecasting and optimization of both platforms
  • Implement observability and operational readiness with monitoring, alerts, dashboards, runbooks and on-call practices
  • Coordinate with product teams and vendors to monitor roadmaps and feature sets for Snowflake and Databrick while aligning platform capabilities with product needs
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