{"schemaVersion":"jobsearcher.job.v1","id":"f4618671e70607fd54f56dff","url":"https://jobsearcher.com/jobs/f4618671e70607fd54f56dff","canonicalUrl":"https://jobsearcher.com/jobs/f4618671e70607fd54f56dff","title":"Senior Data Platform Engineer","description":"OverviewAs a Senior Data Platform Engineer at Later, you own the data foundation that powers our analytics and AI-enabled products. You will design, build, and evolve the data platform spanning ingestion, storage, transformation, and consumption across GCP/BigQuery and AWS. You'll treat the platform as a product, collaborating with engineers, analysts, and data scientists to enable scalable, reliable data workflows and AI readiness. This role combines architecture, platform stewardship, and hands-on development to shape data-driven decision making at scale.Compensation / Benefitsremote-friendly opportunitiesbenefits planscompetitive compensationinclusive workplacediversity & inclusion initiativesequal opportunity employerResponsibilitiesDesign and own scalable data infrastructure (ingestion, orchestration, storage, transformation, consumption) including BigQuery warehouse/lakehouseBuild reliable batch and real-time pipelines and dbt layersEvolve orchestration and ingestion strategy, evaluating connectors like FivetranIdentify and fix platform weaknesses; mentor engineers to raise the technical barDevelop APIs, services, and data movement between GCP and AWS with IaC and CI/CDImplement observability, data quality checks, access controls, and cost/performance optimizationsCreate reusable tooling and standards; enable AI readiness by supporting analytics, ML, and AI applicationsPartner with AI/ML, product, and engineering teams to accommodate new AI use cases and governanceKey requirements6+ years in data/backend/platform engineering with production data systems at scaleStrong backend programming (Python or similar) and SQL, with dbt or equivalent transformation frameworkHands-on cloud experience (GCP and BigQuery), comfort with multiple cloudsExperience with infrastructure as code, CI/CD, and workflow orchestrationExperience with batch and streaming architectures, security, access control, and data governanceAbility to make and communicate architectural tradeoffs to technical and non-technical stakeholdersMentorship and ability to raise the technical barStrong communication to explain tradeoffs to diverse partnersCollaborative, results-driven mindsetPythonSQLdbt or similar transformation framework","company":"Later","rawCompany":"later","city":"Springfield","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:43:58.580Z","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":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Platform Engineer","description":"OverviewAs a Senior Data Platform Engineer at Later, you own the data foundation that powers our analytics and AI-enabled products. You will design, build, and evolve the data platform spanning ingestion, storage, transformation, and consumption across GCP/BigQuery and AWS. You'll treat the platform as a product, collaborating with engineers, analysts, and data scientists to enable scalable, reliable data workflows and AI readiness. This role combines architecture, platform stewardship, and hands-on development to shape data-driven decision making at scale.Compensation / Benefitsremote-friendly opportunitiesbenefits planscompetitive compensationinclusive workplacediversity & inclusion initiativesequal opportunity employerResponsibilitiesDesign and own scalable data infrastructure (ingestion, orchestration, storage, transformation, consumption) including BigQuery warehouse/lakehouseBuild reliable batch and real-time pipelines and dbt layersEvolve orchestration and ingestion strategy, evaluating connectors like FivetranIdentify and fix platform weaknesses; mentor engineers to raise the technical barDevelop APIs, services, and data movement between GCP and AWS with IaC and CI/CDImplement observability, data quality checks, access controls, and cost/performance optimizationsCreate reusable tooling and standards; enable AI readiness by supporting analytics, ML, and AI applicationsPartner with AI/ML, product, and engineering teams to accommodate new AI use cases and governanceKey requirements6+ years in data/backend/platform engineering with production data systems at scaleStrong backend programming (Python or similar) and SQL, with dbt or equivalent transformation frameworkHands-on cloud experience (GCP and BigQuery), comfort with multiple cloudsExperience with infrastructure as code, CI/CD, and workflow orchestrationExperience with batch and streaming architectures, security, access control, and data governanceAbility to make and communicate architectural tradeoffs to technical and non-technical stakeholdersMentorship and ability to raise the technical barStrong communication to explain tradeoffs to diverse partnersCollaborative, results-driven mindsetPythonSQLdbt or similar transformation framework","datePosted":"2026-10-26T13:43:58.580Z","dateModified":"2026-10-26T13:43:58.580Z","hiringOrganization":{"@type":"Organization","name":"Later","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f4618671e70607fd54f56dff"},"url":"https://jobsearcher.com/jobs/f4618671e70607fd54f56dff"}}