Engineering Manager, Looker Modeling and Storage Lifecycle
Job Description
- Master's or PhD in Computer Science
- 3+ years experience in a matrixed organization
- 8+ years software development experience (Python, C++, Java, JavaScript etc.)
- 5+ years technical leadership & project oversight
- 5+ years people management/team leadership
- Data processing experience
- Build high-performing teams
- Provide technical leadership and mentorship
- Bonus
- Equity
- Benefits
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).
- 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:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a matrixed organization.
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.
The Google Cloud's Data Analytics suite of services helps users to 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 Looker's 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 Modeling's 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 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.
The US base salary range for this full-time position is $197,000-$291,000 + 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 .
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 team's focus on scalable and impact products to customers. Ensure the team stays at AI/BI solutions by providing opportunities for learning, development, and collaboration with external experts, articulate team's goal, progress, 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 team's work, in terms of research advancements and product impact.
