Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks.
3 years of experience in a people management, supervision, or team leadership role.

Preferred qualifications:

8 years of experience in data analysis, database querying (e.g., SQL), and BigQuery.
5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, Data Studio, and business intelligence platforms.
5 years of experience in a leadership role with direct reports.
Experience with a wide range of data engineering and data governance tools like cloud platforms, data warehousing solutions, data quality tools, and metadata management systems.
Experience with data analysis at scale, including statistics, and machine learning model development.
Familiarity with data center technology or supply chain.

About The Job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

The Cloud Supply Chain Data Engineering, End-to-End Systems and Analytics team is chartered to provide the most efficient systems and analytics enabling faster decision making and throughput time for Google Cloud's Supply Chain. As Google Cloud continues to scale, this team's work will contribute to the ongoing product, process and capability growth to ensure Google can continue to meet market and competitive goals.

Google's projects, like our users, span the globe and require managers to keep the big picture in focus. As a TPM, Data Engineering, you will lead the next generation of business intelligence platforms, reporting, and intelligence globally for Google's Server Operations teams. You will work with internal and external customers to build cascading dashboards and reports, diagnostic analytics, and owning a server operations measurement framework for effective decision making.

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

Lead a team of individuals. Set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability.
Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., Data Studio, Tableau, etc.).
Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in ML training/models.
Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training. Develop tools and systems to automate data processes, facilitate faster turnarounds, and increase overall efficiency.

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 .

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