FactSet
FactSet
FactSet izstrādā integrētus finanšu datus, analītikas risinājumus un programmatūru investīciju profesionāļiem un finanšu iestādēm. Tās platforma apvieno informāciju un rīkus investīciju izpētei, portfeļa pārvaldībai, aktīvu pārvaldībai un riska analīzei, palīdzot komandām strādāt ar sarežģītiem datiem un izvērtēt iespējas dažādās aktīvu klasēs. FactSet izmanto arī mākslīgo intelektu un datu tehnoloģijas, lai uzlabotu finanšu uzņēmumu piekļuvi atziņām, tirgu analīzi un investīciju lēmumu pieņemšanu. Uzņēmums visā pasaulē apkalpo aktīvu pārvaldītājus, konsultantus, riska ieguldījumu fondus un citas institūcijas.

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.

Apraksts

  • 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

Prasības

  • 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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