{"schemaVersion":"jobsearcher.job.v1","id":"8b5f7646af6aa74c12b2fbac","url":"https://jobsearcher.com/jobs/8b5f7646af6aa74c12b2fbac","canonicalUrl":"https://jobsearcher.com/jobs/8b5f7646af6aa74c12b2fbac","title":"Senior Data Platform Engineer","description":"Senior Data Platform EngineernOps is a Series A FinOps platform managing over $4B in cloud spend across AWS, Azure, and GCP. We help engineering and finance teams gain real-time cloud cost visibility and achieve autonomous optimization.The RoleWe're looking for a Senior Data Platform Engineer who blends data engineering and data science to help power the next stage of our growth. You'll own the health, performance, and cost-efficiency of our data platform while building the pipelines that drive our product forward. You'll be a key partner across the team — someone who loves digging into how data flows end-to-end, from raw ingestion through to what our customers see in the app, and who takes pride in getting to the root of things.What You Will DoOwn the daily health and performance of our Databricks Lakehouse environment (jobs, pipelines, security, workspace cleanup)Build and maintain data pipelines in SQL and Python that transform data into consumable formatsOptimize legacy jobs and workflows for performance and cost efficiencyOwn security administration in Databricks (users, groups, role-based access control)Trace data flows end-to-end across the stack — from Databricks through the front-end to what the customer seesPartner closely with engineering, customer success, and product to ensure data accuracy and integrity across the platformManage the AWS infrastructure that powers our data environmentWhat You Will Bring5+ years of experience in a hybrid data engineering / data science roleDeep expertise with Databricks (Lakehouse, pipeline development, optimization)Strong proficiency in SQL and PythonWorking knowledge of AWS infrastructure as it relates to data platform operationsComfort tracing data issues across the full stackCuriosity and a builder mentality — someone who loves spotting inefficiencies and takes ownership of fixing themStrong communication skills, especially explaining complex data topics to non-technical stakeholdersExcitement for a fast-moving Series A environment where you can own outcomes end-to-endNice to Have2+ years experience with Neon, Lakebase, Supabase, or Aurora PostgresExperience with cost optimization at scale on DatabricksFamiliarity with role-based access control (RBAC) and data governanceBackground in FinOps, cloud cost management, or SaaS analytics platformsOur StackData: Databricks Lakehouse, Lakebase, PySpark, SQL, PythonCloud: AWSFront-End / Back-End: Next.js, VercelData Layer: Postgres","company":"Nopsio","rawCompany":"nopsio","city":"Denver","state":"CO","isRemote":false,"isActive":true,"createdAt":"2026-09-11T12:34:39.660Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Platform Engineer","description":"Senior Data Platform EngineernOps is a Series A FinOps platform managing over $4B in cloud spend across AWS, Azure, and GCP. We help engineering and finance teams gain real-time cloud cost visibility and achieve autonomous optimization.The RoleWe're looking for a Senior Data Platform Engineer who blends data engineering and data science to help power the next stage of our growth. You'll own the health, performance, and cost-efficiency of our data platform while building the pipelines that drive our product forward. You'll be a key partner across the team — someone who loves digging into how data flows end-to-end, from raw ingestion through to what our customers see in the app, and who takes pride in getting to the root of things.What You Will DoOwn the daily health and performance of our Databricks Lakehouse environment (jobs, pipelines, security, workspace cleanup)Build and maintain data pipelines in SQL and Python that transform data into consumable formatsOptimize legacy jobs and workflows for performance and cost efficiencyOwn security administration in Databricks (users, groups, role-based access control)Trace data flows end-to-end across the stack — from Databricks through the front-end to what the customer seesPartner closely with engineering, customer success, and product to ensure data accuracy and integrity across the platformManage the AWS infrastructure that powers our data environmentWhat You Will Bring5+ years of experience in a hybrid data engineering / data science roleDeep expertise with Databricks (Lakehouse, pipeline development, optimization)Strong proficiency in SQL and PythonWorking knowledge of AWS infrastructure as it relates to data platform operationsComfort tracing data issues across the full stackCuriosity and a builder mentality — someone who loves spotting inefficiencies and takes ownership of fixing themStrong communication skills, especially explaining complex data topics to non-technical stakeholdersExcitement for a fast-moving Series A environment where you can own outcomes end-to-endNice to Have2+ years experience with Neon, Lakebase, Supabase, or Aurora PostgresExperience with cost optimization at scale on DatabricksFamiliarity with role-based access control (RBAC) and data governanceBackground in FinOps, cloud cost management, or SaaS analytics platformsOur StackData: Databricks Lakehouse, Lakebase, PySpark, SQL, PythonCloud: AWSFront-End / Back-End: Next.js, VercelData Layer: Postgres","datePosted":"2026-09-11T12:34:39.660Z","dateModified":"2026-09-11T12:34:39.660Z","hiringOrganization":{"@type":"Organization","name":"Nopsio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8b5f7646af6aa74c12b2fbac"},"url":"https://jobsearcher.com/jobs/8b5f7646af6aa74c12b2fbac"}}