Senior Google Data Architect designing and delivering scalable data solutions on Google Cloud Platform. Collaborating across teams to shape target - state data architectures and influence enterprise data strategy.
About the role
- Lead AI, MLOps & Data Engineer at WedR, guiding complex data projects and AI innovation. Collaborate with diverse experts in a Product Studio for digital transformations.
Responsibilities
- Lead complex data and machine learning projects.
- Guide the development of end-to-end solutions: requirements qualification, architecture design, and production deployments.
- Play a key role in developing our internal Data & AI practice.
- Provide guidance on technical best practices.
- Communicate with stakeholders about project progress and outcomes.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- 4–12 years in data engineering, data architecture, machine learning engineering, or similar roles.
- Strong skills in SQL/NoSQL and expertise in big data and cloud platforms such as AWS, GCP, or Azure.
- Proficiency in one or more programming languages (Python, Java, Scala) or ML frameworks.
Benefits
- Tailored support
- Training & certifications
- Quarterly social events
- After-work socials
- Team running sessions
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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