
(P-1490)
Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail
When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isnt just important, its existential
The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billing errors structurally impossible, and automation that scales operations sublinearly with growth.
In this leadership opportunity, you will build the data infrastructure organization that makes Databricks continued growth possible Youll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale
This isnt about maintaining what exists; its about architecting the infrastructure that enables Databricks to scale while reducing operational burden Youll define what world-class infrastructure looks like for the next decade of data platforms.
You will pursue these challenges as a founding technical leader in our fastest-growing engineering hub and strategic partner to global infrastructure leaders In addition to building world-class teams, you will shape architectural decisions that ripple across the company and champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally
Youll work in an engineering culture born from Apache Spark and open source, where technical depth matters and infrastructure engineers are celebrated as craftspeople.
The perfect candidate has built infrastructure organizations at companies where five nines werent simply aspirational, where petabyte-scale wasnt marketing but Monday, and where the infrastructure teams technical leverage determined whether the business could scale or stall
You have the technical depth to debate data architecture, the strategic vision to define multi-year platform roadmaps, the leadership craft to build teams that top engineers want to join, and most importantly, the conviction that data infrastructure done right doesnt just support the business; it defines whats possible.
Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building di
Databricks on Oh My Job
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