Added
2 days ago
Type
Full time
Salary
Salary not provided

Related skills

bigquery looker data engineering gcp google cloud

πŸ“‹ Description

  • Own the design and delivery of enterprise-scale Google Cloud platforms for clients, including cloud
  • Own the reference architectures for Google Cloud landing zones, data platforms (BigQuery, Knowledge
  • Build and evolve a library of reusable platform templates (infrastructure-as-code modules, CI/CD
  • Define standards, patterns, and guardrails for how use cases are built on the platform, and lead
  • Implement capabilities to deploy data products and AI agents at scale: automated deployment
  • Design consumption layers serving both people and machines: semantic layers, BI/reporting tools

🎯 Requirements

  • Deep, hands-on expertise designing and delivering Google Cloud landing zones, enterprise data
  • Track record of building reusable templates, blueprints, and golden paths, with evidence of
  • Experience taking multiple data products and/or AI agents from prototype to production at scale
  • Understanding of semantic layers, BI tooling, APIs, and agent-facing interfaces such as the Model
  • Practical experience or strong point of view on building/deploying agents (e.g., with Vertex AI /
  • Experience implementing FinOps frameworks and observability/telemetry that tie cloud spend to

🎁 Benefits

  • 20 days of paid vacation per calendar year
  • Public holidays for your province of residence
  • 5 wellness days (sickness, personal time, mental health)
  • 5 lifestyle days (religious events, volunteer day, sick day)
  • Matching group retirement savings plan after 3 months
  • Competitive group insurance plan on day 1 – individual premium paid 100%
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