About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

• Design, develop, and maintain data pipelines and Extract-Transform-Load (ETL) processes on Google Cloud Platform (GCP) and other platforms for the Devices organization's centralized data warehouse.
• Write SQL queries for data ETL and ad-hoc analysis. Work with large datasets using Big Data technologies and frameworks.
• Partner with business stakeholders to understand data needs and translate them into technical solutions.
• Contribute to the development and improvement of data warehousing best practices and standards within the team. Develop and maintain data quality systems.
• Document data pipelines, processes, and data models for maintainability and knowledge sharing. Collaborate with other data engineers and analysts within the team to deliver data solutions.