Data Engineering Manager, Geo Data Operations

About the position

gTech's Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech's Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

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, reliability, and portability.
• Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., Datastudio, 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 Machine Learning training/models.
• Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training.

Requirements

• 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.

Nice-to-haves

• 5 years of experience developing project plans and delivering projects on time within budget and scope.
• 5 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
• 5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
• 3 years of experience with Machine Learning for production workflows.

Benefits

• base salary range of $180,000-$267,000
• bonus
• equity
• benefits