Engineering Manager, Looker Modeling and Storage Lifecycle

Job Description

: Engineering Manager, Looker Modeling and Storage LifecycleLocation: Sunnyvale, CA, USA; San Francisco, CA, USAShare

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NoteBy applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Francisco, CA, USA.Minimum Qualifications

• Bachelors 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).
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
• Experience with data processing.

Preferred Qualifications

• Masters degree or PhD in Computer Science or related technical field.
• 3 years of experience working in a matrixed organization.

About the JobLike Googles 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.Google Clouds Data Analytics suite of services helps users collect, store, process, and analyze data in the cloud. Looker is a strategic BI platform, as part of Data Analytics suite. We are part of the Lookers Modeling team, responsible for defining a data model enabling BI users to easily explore data and rapidly build insightful visualization dashboards.In this role, you will be re-defining the Looker Modelings storage and its life-cycle management, along with defining the next generation of modeling that can be consumed as a service outside of the product (i.e., by the wider Data Analytics ecosystem).Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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.The US base salary range for this full-time position is $197,000-$291,000bonusequitybenefits. 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

• Build a high-performing team to land Modeling Life-cycle initiatives.
• Provide technical leadership and mentorship, fostering team growth and development, and cultivate a collaborative team environment that grows on innovation, experimentation, and knowledge sharing.
• Encourage prototyping team ideas, balancing the teams focus on scalable and impactful products to customers. Ensure the team stays at AI/BI solutions by providing opportunities for learning, development, and collaboration with external experts, articulate teams goals, progress, and challenges to stakeholders, within or outside the organization.
• Establish clear project goals/milestones, balancing short-term deliverables with long-term objectives.
• Allocate project resources strategically, ensuring on-time delivery within budget, while also allowing for flexibility and adaptability.
• Implement metrics to evaluate the impact of a teams work, in terms of research advancements and product impact.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.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 identity/expression, 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.If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.Locations

• Sunnyvale, CA, USA; San Francisco, CA, USA

ExperienceOwning outcomes and decision-making, solving ambiguous problems, and influencing stakeholders; deep expertise in the domain.

Keyskills :
technical leadership software development data processing team management project management artificial intelligence java software engineering python javascript bi storage security san natural language processing information retrieval