Cloud Engineer III - Databricks, Snowflake, GCP/AWS (Hybrid)
Core
Design, govern, and optimize multi-cloud data and AI/ML platforms (Databricks, Snowflake) on AWS and GCP to support enterprise digital transformation and GenAI initiatives.
Role type
Senior Cloud Engineer (Data & AI Platforms)
Builds
Cloud-native data platforms, AI/ML workflows, and observability tooling for financial analytics
Domain
Financial Services / Cloud Data Engineering / Generative AI
Deliverable
production ML models
Required skills
Databricks (Unity Catalog, Delta Lake, DABs), Snowflake, AWS, GCP, Terraform, Python, CI/CD (GitHub Actions, CodeBuild), FinOps, Cloud Networking (VPC, Direct Connect), Docker, Kubernetes (ECS/EKS)
Preferred skills
Generative AI/ML workflows, Flyway, OIDC authentication, multi-region disaster recovery architecture
Technologies
Databricks, Snowflake, AWS, GCP, Terraform, GitHub Actions, AWS CodeBuild, MLflow, Flyway
Responsibilities
Administer Databricks Unity Catalog governance and compute policies; maintain Terraform/DABs CI/CD pipelines for data platform deployments; support AWS-to-GCP migration planning for AI workloads; build centrally-managed observability tooling for pipeline performance; implement workspace architecture redesign for disaster recovery; troubleshoot cloud connectivity and performance issues.
Seniority
Senior, hands-on IC
