Senior Software Engineering Manager Dataproc Google Cloud
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Senior Software Engineering Manager Dataproc Google Cloud share link Copy link email Email a friend corporate_fare Google place Sunnyvale CA USA bar_chart Advanced Advanced
Experience owning outcomes and decision making solving ambiguous problems and influencing stakeholders deep expertise in domain.
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Minimum qualifications Bachelors degree or equivalent practical experience. 8 years of experience with software development. 5 years of experience in a technical leadership role. 5 years of experience in a people management or team leadership role. Experience with Apache Spark Data Processing and Data Analytics.
Preferred qualifications Masters degree or PhD in Engineering Computer Science or a related technical field. 10 years of experience with executive managers. Experience in using Google or other Cloud technologies building highly scalable distributed systems. Knowledge of open source data analytics technologies such as Apache YARN Spark Hive Flink etc. Knowledge of Data LakesLake houses like Iceberg Delta BQ Iceberg tables.
About the job Googles software engineers develop the next-generation technologies that change how billions of users connect explore and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. Were looking for engineers who bring fresh ideas from all areas including information retrieval distributed computing large-scale system design networking and data storage security artificial intelligence natural language processing UI design and mobile the list goes on and is growing every day. As a software engineer you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your extensive technical expertise you take initiative to independently design and implement new systems designing implementing and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.
Google Cloud Dataproc delivers fully managed Apache Spark Flink and Trino at planetary scale. In this role you will build an AI-ready platform with native GPU support and specialized runtimes PyTorch TensorFlow integrated with Vertex AI. You will help us define the unified open lakehouse of tomorrow-bridging Apache Iceberg Delta and Hudi with enterprise-grade security. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is 262000-365000 bonus equity benefits. Our salary ranges are determined by role level and location. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus equity or benefits. Learn more about benefits at Google.
Responsibilities Provide strategic leadership and goal for a high-performing engineering organization driving the roadmap for Spark and next-generation Lake House architectures. Architect global-scale Data Lake and Lake House solutions integrating open-source standards like Iceberg and Delta Lake with internal BigQuery ecosystems. Foster a culture of technical innovation and excellence optimizing open-source stacks for peak performance security and enterprise-grade efficiency. Collaborate with cross-functional GCP infrastructure and product teams to deliver seamless observability-rich platforms for global enterprise customers. Direct the integration of AI Machine Learning and Data Science workloads into the core Dataproc and Lake House offerings. Manage stakeholder relationships and influence internal and external open-source communities to align with Googles strategic objectives. Oversee organizational health talent development and resource allocation across multiple distributed teams to ensure operational excellence and high engagement.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve creating a culture of belonging and providing an equal employment opportunity regardless of race creed color religion gender sexual orientation gender identityexpression national origin disability age genetic information veteran status marital status pregnancy or related condition including breastfeeding expecting or parents-to-be criminal histories consistent with legal requirements or any other basis protected by law. See also Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
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Follow Life at Google on More about us About us open_in_new Contact us open_in_new Press open_in_new Related Information Investor relations open_in_new Blog open_in_new Equal Opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve creating a culture of belonging and providing an equal employment opportunity regardless of race creed color religion gender sexual orientation gender identityexpression national origin disability age genetic information veteran status marital status pregnancy or related condition including breastfeeding expecting or parents-to-be criminal histories consistent with legal requirements or any other basis protected by law. See also Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
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