Distinguished Engineer, Advanced Data Analytics, Google Cloud - Google

Sunnyvale, CA

About the Job

Minimum qualifications:

Bachelor’s degree in Computer Science, Engineering, a similar technical field of study, or equivalent practical experience
15 years of professional software engineering experience
Experience in analytics, including generative AI, responsible AI and real time data processing

Preferred qualifications:

Experience as a thought leader in data analytics and AI/ML, and experience in technology innovation
Experience in AI/ML quality evaluation and improvement, including managing tuning techniques with cost/benefit tradeoffs
Ability to promote product excellence and collaboration driving a portfolio of concurrent engineering projects (e.g., short-term critical feature launches to long-term research initiatives)
Passionate about delighting enterprise customers, with an excellent understanding of enterprise workloads

About the job

In this role, you will define the long-term technical and innovation strategy for Data Analytics and bring your point of view on technology leadership, research, and industry trends. You will employ a hybrid approach of direct technical guidance, mentorship, high-level consulting, and risk/growth management. You will also collaborate with the Data Analytics leadership team.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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 $323,000-$465,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

Co-lead the technology and innovation strategy for Data Analytics with a focus on Generative AI, Machine Learning and their connection to big data, realtime data, and Business Intelligence (BI) systems.
Assess long-term technological investments, and calibrate opportunities against each other and available bandwidth.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Source : Google