AI Data Developer II, Professional Services, Google Cloud
Toronto, ON, Canada · Mid
Sponsorship not specified$170k-$174kDetected 4 hours ago
PythonJavaGCPCloud PlatformsMachine LearningSparkData EngineeringLLMsRAGLLMOpsAI OrchestrationCollaborationPublic Speaking
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odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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Files H-1B transfers
984 transfer filings in the last year, covering 2277 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- Communicate effectively for client meetings and onsite delivery activities.
Responsibilities
- Lead the end-to-end delivery of enterprise-scale data platforms, enabling real-time ingestion and high-performance consumption for AI/ML and Agentic use cases.
- Own the operational lifecycle of data products-including governance, security, cost-efficiency, and SLA management-in collaboration with stakeholders to drive long-term technical strategy.
- 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 data platform environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
- Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
Requirements
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
- Experience managing client-facing projects, troubleshooting technical issues, and working with Developers and Sales Services teams
- Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Nice to have
- Google Cloud Platform (GCP) Professional Data Certification(s).
- Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Google Cloud accelerates every organization's ability to digitally transform its business and industry.
- Travel up to 30% of the time.
Skills
- Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Compensation
- $170k-$174k
Benefits
- Experience building machine learning solutions and working with technical customers.
Company info
- 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 a Data Developer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform.
- Act as a trusted technical advisor to customers and solve complex Big Data and AI challenges.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.