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Cloud Engineer III – Databricks, Snowflake, AWS/GCP (Hybrid)
Manage Databricks and Snowflake platforms supporting FactSet’s financial data and analytics products. Oversee AWS and GCP infrastructure, CI/CD, security, FinOps, observability, and disaster recovery.
विवरण
- Plan and implement enterprise data platforms across AWS and GCP
- Promote cloud-native services and make core infrastructure accessible to engineering teams
- Help engineering teams adopt automation and effective release practices
- Partner with security teams to strengthen protection for cloud services and data
- Administer Databricks Unity Catalog governance across more than 100 projects, including compute policies, cluster custodian rules, and access controls
- Maintain and enhance Terraform and Databricks Asset Bundles CI/CD pipelines with GitHub Actions and CodeBuild
- Support DDL and grant management through Flyway-based migration tools
- Analyze FinOps across Databricks DBU usage, S3 storage, Snowflake, and related data platforms
- Contribute to AWS-to-GCP migration planning for AI workloads
- Design and assess secure architectures for external and third-party access
- Build and operate centralized observability tools for jobs and pipelines
- Restructure workspaces into a catalog-based architecture aligned with disaster-recovery tiers
- Lead the future implementation of multi-region disaster recovery for Databricks
- Use AWS and GCP expertise to configure Databricks network connectivity and resolve connectivity and performance issues
आवश्यकताएँ
- At least 3 years of hands-on public cloud experience with AWS and/or GCP
- At least 2 years of hands-on Databricks experience, including Unity Catalog, Delta Lake, and Databricks Asset Bundles
- At least 1 year of Snowflake experience covering data warehousing, access management, and cross-platform integrations
- Proven ability to work effectively across cross-functional technology teams
- Professional fluency in written and spoken English
- At least 3 years of AWS and/or GCP experience supporting Databricks workloads on cloud infrastructure
- Understanding of cloud computing technologies
- Strong working knowledge of Python, Terraform, or Ansible, including the Databricks Terraform provider and Databricks Asset Bundles
- Experience with Docker, EC2/ASG, serverless Lambda, and ECS/EKS
- Strong foundational knowledge of VPC, TGW, Direct Connect, ALB/NLB, and PrivateLink
- Hands-on experience managing Databricks Unity Catalog governance, access controls, and compute policies
- Experience with CI/CD tools including GitHub Actions and AWS CodeBuild
- Knowledge of generative AI and AI/ML tools and methods, including MLflow and Model Serving
- Experience with observability and monitoring tools for data pipelines and workflows
- Required bachelor’s degree in information or computer science, engineering, or a related IT-focused discipline
- Working knowledge of FinOps principles
- Familiarity with Flyway or Liquibase
- Understanding of identity and access management patterns, including OIDC authentication
- Experience working in multi-cloud environments, especially AWS and GCP
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