{"id":1726462,"url":"https://alion.io/job/factset-cloud-engineer-iii-databricks-snowflake-gcpaws-hybrid","title":"Cloud Engineer III - Databricks, Snowflake, GCP/AWS (Hybrid)","company":{"id":2786132,"name":"Workday","domain":"myworkdayjobs-impl.com","url":"https://alion.io/company/myworkdayjobs-impl","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":62,"ghost_share":0,"stale_share":0.032,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"FinOps","optional":false},{"name":"Flyway","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Liquibase","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-18T11:57:40Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":17},"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.\nAt 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 rolein 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 anticipatingour clients’ needs and exceeding their expectations.\nFluency in English (written and spoken) is a definitive must to apply.\n*Resume must be submitted in ENGLISH.\n Job Location: São Paulo City - Pinheiros (3 days/week at office)\nWorking hours: Brazil business hours + on-call to be discussed\n Employment condition: Brazil full-time CLT with FactSet competitive benefits global package applied to Brazil (FactSet total rewards).\nCloud 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.\nResponsibilities:\nSupport the planning and implementation of enterprise data platforms across AWS and GCP\nWork with Core Infrastructure teams to drive adoption of cloud-native services and ensure core infrastructure is easily consumable by engineering teams\nIncrease velocity of cloud migration and digital transformation by helping engineering teams adopt best practices around automation and release processes\nWork with the FactSet security organization to ensure a strong security posture of services and data in the cloud\nAdminister Databricks Unity Catalog governance across 100+ projects; manage compute policies, cluster custodian rules, and access controls, without granting users account or metastore admin rights\nMaintain 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\nHelp teams manage DDL and grants through Flyway-based migration tooling, keeping Terraform as the single source of truth for access grants\nSupport cost and FinOps analysis across Databricks DBU spend, cloud storage (S3), and connected data platforms (e.g., Snowflake external connections)\nContribute to multi-cloud strategy work, including AWS-to-GCP migration planning for AI workloads\nDesign 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\nBuild 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\nImplement 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\nMaintain working knowledge of underlying AWS and GCP platform services (networking, IAM, CloudWatch) to support Databricks network connectivity configuration (NCCs) and troubleshoot connectivity and performance issues via cloud-native logs\nMinimum Requirements:\n3+ years of hands-on public cloud experience (AWS and/or GCP) successfully making engineering contributions in a fast-paced, high growth business\n2+ years of hands-on Databricks experience, including Unity Catalog, Delta Lake, and Databricks Asset Bundles (DABs)\n1+ years experience with Snowflake, including data warehousing concepts, access management, and cross-platform integrations\nDemonstrable experience working in cross-functional technology teams\nFluency in English, both written and verbal\nCritical Skills:\n3+ years AWS and/or GCP experience working in a highly distributed fast paced environment, with experience supporting Databricks workloads on cloud infrastructure\nProven track record of being an innovative and pragmatic technology expert\nUnderstanding of Cloud Computing technologies\nStrong working knowledge of one or more of the following: Python, Terraform, or Ansible, with specific experience using the Databricks Terraform provider and Databricks Asset Bundles (DABs)\nExperience with Docker, EC2/ASG, Serverless (Lambda), ECS/EKS\nStrong foundational knowledge of Cloud Networking services such as: VPC, TGW, Direct Connect, ALB/NLB, PrivateLink\nHands-on experience with Databricks Unity Catalog, including governance, access controls, and compute policy management\nExperience with CI/CD tooling (GitHub Actions, AWS CodeBuild) for data platform deployments\nKnowledge of Generative AI and AI/ML tools & techniques, including experience deploying and managing AI/ML workflows on Databricks (e.g., MLflow, Model Serving)\nExperience with observability and monitoring tooling for data pipelines and workflows\nStrong desire for learning new tech and solving challenging engineering problems\nAdditional Skills:\nExcellent communication skills, with the ability to participate in technology discussions at all levels, including translating complex data platform governance and architecture concepts to non-technical stakeholders\nAbility to review initiatives, understand detailed business processes and technology, and make timely decisive decisions\nStrategic, analytical, and creative thinking style with a realistic, pragmatic approach\nExperience working with FinOps principles, with the ability to analyze and report on cloud and data platform spend (Databricks DBU, S3, Snowflake)\nFamiliarity with database migration tooling such as Flyway or Liquibase\nUnderstanding of identity and access management patterns, including OIDC-based authentication for external client access\nExperience with multi-cloud environments, particularly AWS and GCP, and familiarity with cross-cloud data and AI workload migration\nEducation:\nBachelor’s degree in information/computer science, engineering, or related discipline with IT focus required.\nCompany Overview:\nFactSet (NYSE:FDS| NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.\nAt FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.","description_format":"text","description_chars":7949,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Equity"],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T22:07:17Z"},{"event":"reopen","at":"2026-10-16T05:59:50Z"}],"visa":[],"liveness":{"score":67,"band":"ok","label":"Likely open","p_open":1,"p_active":0.745,"p_room":0.9,"age_days":16,"expected_fill_days":24,"reasons":["conf:8","win:mid"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/factset-cloud-engineer-iii-databricks-snowflake-gcpaws-hybrid","json_url":"https://alion.io/job/factset-cloud-engineer-iii-databricks-snowflake-gcpaws-hybrid.json","meta":{"generated_at":"2026-10-19T03:44:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2093,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2786132},"rest":"https://alion.io/mcp/rest/get_company?id=2786132"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffactset-cloud-engineer-iii-databricks-snowflake-gcpaws-hybrid"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffactset-cloud-engineer-iii-databricks-snowflake-gcpaws-hybrid"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffactset-cloud-engineer-iii-databricks-snowflake-gcpaws-hybrid"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/factset-cloud-engineer-iii-databricks-snowflake-gcpaws-hybrid\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffactset-cloud-engineer-iii-databricks-snowflake-gcpaws-hybrid"}]}