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Senior, niche Google Data Commons role with specific GCP on-site requirement reduces applicant density.
Highly specialized Google Data Commons, BigQuery, Spanner and knowledge-graph expertise limits cross-industry transferability.
Explicit 10+ years, 3+ lead years, and many mandatory GCP/Data Commons technologies make filters strict.
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Own end-to-end technical architecture and architectural direction across Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure tracks within the Google Data Commons program.
Act as the primary technical lead interfacing between CloudSufi and Google, coordinating cross-track dependencies and ensuring delivery quality and engineering excellence.
Represent CloudSufi with Google stakeholders at all levels, communicating technical progress, risks, and decisions clearly and collaborating closely on implementation and standards.
10+ years of software engineering experience with at least 3 years in a technical leadership role across multiple workstreams.
Demonstrable production experience delivering systems on Google Cloud Platform, including core technologies: Google Data Commons, Cloud Spanner, BigQuery, Apache Beam/Dataflow, and Terraform on GCP.
Ability to work onsite at Google's Bangalore office regularly; based in Bangalore, India.
Exceptional English communication skills and prior experience working with or for Google (Google partner program or embedded contractor) strongly preferred.
Experienced technical leader skilled in coordinating horizontally across diverse engineering streams in fast-paced, high-visibility Google ecosystem projects.
Deep domain expertise in Google Data Commons technology stack and architecture, with hands-on technical credibility and ability to contribute to critical code as needed.
Effective liaison who can manage complex program ambiguities and build strong collaborative relationships with senior Google engineering teams and program managers.