AI Data Developer I, Professional Services, Google Cloud

Google LLC; Toronto; On-site; CAD 138,000 - 141,000; Full time

Job summary

Google LLC is seeking an AI Data Developer I in the Google Cloud Consulting Professional Services team in Canada. You will guide customers on ingesting, storing, and processing data on Google Cloud Platform, lead data migrations, and architect scalable data processing systems with clients to enable end-to-end data solutions.

The role involves building efficient data pipelines, collaborating with sales and development teams, and delivering production-grade Big Data and AI solutions for diverse

Qualifications

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
• 3 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
• Experience managing client-facing projects, troubleshooting technical issues, and working with Development and Sales Services teams.
• Experience with data platform administration or distributed data processing techniques, as well as writing software in Java, Python, or SQL.

Responsibilities

• Ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform.
• Lead data migrations and transformations, architect scalable data processing systems with clients.
• Build efficient data pipelines and resolve platform challenges in collaboration with Google's strategic cloud customers.
• Collaborate with Google's teams to successfully implement Google Cloud products.

Skills

Data processing software (Spark/Beam)

Client-facing projects

Data platform administration

Java/Python/SQL

Education

Bachelor's degree in CS or related field

Job description

AI Data Developer I, Professional Services, Google Cloud

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corporate_fare Google place Toronto, ON, Canada

This posting is for an existing vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
• 3 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
• Experience managing client-facing projects, troubleshooting technical issues, and working with Development and Sales Services teams.
• Experience with data platform administration or distributed data processing techniques, as well as writing software in Java, Python, or SQL.

Preferred qualifications:

• Google Cloud Platform (GCP) Professional Data Certification(s).
• Experience building machine learning solutions and working with technical customers.
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
• Experience building production LLM/GenAI systems: multi-agent orchestration, agent frameworks (e.g. ADK), tool and function calling, RAG, and prompt/context development.
• Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Data Developer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges. You'll collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Data Developer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges. You'll collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $138000 - $141000 (CAD) + 15% bonus target + equity + benefits

• Act as a trusted technical advisor to customers and solve complex Big Data and AI challenges.
• Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
• Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
• Travel regularly up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities.
• Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.