Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
- Experience working collaboratively with various partner teams such as product managers, UX designers, UX researchers, and other engineering teams.
- Experience productionizing a service and being on call.
- Engineering management experience that involves direct reports.
- Experience working with an enterprise-focused software ecosystem (e.g., other cloud providers, non-cloud enterprise software vendors, Google Ads).
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About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
BigQuery is a managed, Artificial Intelligence (AI) ready data analytics platform that helps Google Cloud Platform (GCP) customers maximize value from their data and is designed to be multi-engine, multi-format, and multi-cloud.
The Data Lineage team develops automated lineage harvesting and an Application programming interface (API) and User Interface (UI) to track and visualize the transformations on data assets that customers host in BigQuery and other locations. Lineage is a key enabler for business users and data engineers to discover relevant data assets, resolve data incidents, forecast the impact of changes, and ensure compliance with data privacy regulations (regarding Machine Learning models).
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge 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.
Responsibilities
- Manage people, and become a partner by helping the team members career development journeys.
- Build, sustain, and grow relationships with a wide variety of collaborators. Help other teams accomplish their goals, and you enlist other teams to help you accomplish goals.
- Influence the technical architecture of the codebases that Google owns. Optimize technical systems and processes to handle a volatile, uncertain, complex, and ambiguous future.
- Guide the team to be adaptable to the inevitable changes in theObjectives and Key Results(OKRs) mid-cycle.