Cloud Engineer III - Databricks, Snowflake, GCP/AWS (Hybrid) at FactSet in São Paulo

Job description

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Fluency in English (written and spoken) is a definitive must to apply. *Resume must be submitted in ENGLISH . Job Location: São Paulo City - Pinheiros (3 days/week at office) Working hours: Brazil business hours + on-call to be discussed Employment condition: Brazil full-time CLT with FactSet competitive benefits global package applied to Brazil (FactSet total rewards). Cloud and data remain a core enabler for several of our enterprise strategies: rounding the corner on Digital Transformation, executing on M&A, driving Investment Programs, and enabling GenAI. The Core Infrastructure Team at FactSet is looking for an experienced Cloud Engineer with deep expertise in Databricks and Snowflake to join our growing Cloud team. The team is comprised of Cloud Architects and Engineers, focusing on overall Cloud Architecture strategy & execution, and enablement of the organization to create and run optimized Cloud Native solutions aligned to our Internal Developer Platform. The Cloud Engineer will help maximize the benefit FactSet receives from its usage of public cloud, with a particular focus on governing, scaling, and optimizing our Databricks and Snowflake platforms. The engineer will directly contribute to the growth of the business by building well-governed cloud data and AI/ML services across FactSet's public cloud partners. Responsibilities: Support the planning and implementation of enterprise data platforms across AWS and GCP Work with Core Infrastructure teams to drive adoption of cloud-native services and ensure core infrastructure is easily consumable by engineering teams Increase velocity of cloud migration and digital transformation by helping engineering teams adopt best practices around automation and release processes Work with the FactSet security organization to ensure a strong security posture of services and data in the cloud Administer Databricks Unity Catalog governance across 100+ projects; manage compute policies, cluster custodian rules, and access controls, without granting users account or metastore admin rights Maintain and extend the Terraform/Databricks Asset Bundles (DABs) CI/CD pipeline (GitHub Actions + CodeBuild) that deploys notebooks, pipelines, jobs, AI/ML workflows, and project settings Help teams manage DDL and grants through Flyway-based migration tooling, keeping Terraform as the single source of truth for access grants Support cost and FinOps analysis across Databricks DBU spend, cloud storage (S3), and connected data platforms (e.g., Snowflake external connections) Contribute to multi-cloud strategy work, including AWS-to-GCP migration planning for AI workloads Design and evaluate secure external and third-party access architectures (e.g., OIDC-based access for large external client bases), balancing scale limits, performance, and security requirements Build and operate centrally-managed observability tooling that auto-instruments alerting across all jobs and pipelines, tracking baseline execution duration and scalability to detect performance regressions Implement redesign of workspace architecture (currently split by dev/UAT/prod) into a catalog-based structure organized by disaster-recovery tier, in preparation for Databricks' multi-region DR capability; own the eventual DR implementation once that feature is generally available Maintain working knowledge of underlying AWS and GCP plat