Technical Curriculum Developer III, Data, Cloud Learning Services

$129,000 - $191,000/Yr

Google - Atlanta, GA

Full-time - Mid Level

Atlanta, GA

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About the position

As a Technical Curriculum Developer at Google Cloud, you will be responsible for designing, developing, and maintaining technical learning content and curricula for various cloud roles, including ML Engineers, Data Scientists, Data Engineers, and Developers. This role focuses on translating complex technical content into effective learning materials, utilizing your expertise in cloud computing technologies and instructional design principles to enhance the learning experience for users across the globe.

Responsibilities

• Design and develop creative, learner-centered training content for on-demand, instructor-led, and blended training.
• Build associated assets including labs, videos, facilitator guides, and other resources.
• Analyze Google Cloud Data solutions and products such as BigQuery, Dataflow, Dataproc, Dataplex, Cloud Composer, and Cloud Spanner to develop effective training for customers.
• Collaborate effectively with Engineers, Portfolio Managers, and other partners to support initiatives.
• Ensure and drive best practices standardization across all projects, content, and curricula.
• Perform needs and task analysis, scope projects, and evaluate existing documentation to identify the most appropriate training approach and content.

Requirements

• Bachelor's degree in Computer Science, Mathematics, or Information Architecture, or equivalent practical experience.
• 5 years of experience in Cloud Data or related discipline.
• 2 years of experience as a technical instructor or in technical training curriculum development.
• 2 years of experience with cloud computing technologies.

Nice-to-haves

• Associate or professional certification in Cloud ML Engineer or Cloud Architect.
• Experience creating and managing learning by collaborating with highly technical subject matter experts and managers to develop training content and curricula.
• Experience coding in Python, using data science libraries (e.g., NumPy, Pandas, etc.) and creating Jupyter notebooks.
• Experience building and managing pipelines.
• Excellent communication, writing, and editing skills within learning content, including effectively explaining technical topics to novice or non-technical audiences.
• Ability to collaborate with highly technical subject matter experts and stakeholders to develop training content and curricula.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development
• Tuition reimbursement