{"schemaVersion":"jobsearcher.job.v1","id":"29a83f1b3748c462d99652f3","url":"https://jobsearcher.com/jobs/29a83f1b3748c462d99652f3","canonicalUrl":"https://jobsearcher.com/jobs/29a83f1b3748c462d99652f3","title":"ThoughtSpot & Databricks Analytics Engineer","description":"Senior ThoughtSpot & Databricks Analytics Engineer / ConsultantLocation: Bay Area, CaliforniaEngagement: Contract / ConsultingExperience: 5–8+ yearsClient: MetaWork Arrangement: Bay Area – Hybrid / Onsite as requiredAbout the RoleWe are looking for an experienced ThoughtSpot & Databricks Analytics Engineer / Consultant to support a large-scale enterprise data and analytics environment for a leading technology client in the Bay Area.The ideal candidate will have strong hands-on experience with ThoughtSpot, Databricks, Data Lake/Lakehouse architecture, SQL, and data modeling, and will be comfortable working with large, complex datasets and business stakeholders.This is a hands-on role requiring a combination of BI/analytics, data engineering, performance optimization, and data modeling skills.Key ResponsibilitiesDesign, develop, and maintain analytics solutions using ThoughtSpotBuild and optimize ThoughtSpot Models/Worksheets, Answers, Liveboards, formulas, joins, and reusable analytical contentConnect ThoughtSpot with Databricks and enable scalable analytics on enterprise datasetsDesign and develop data solutions using Databricks Lakehouse / Data Lake architectureDevelop complex SQL queries and analytical datasets using Databricks SQLWork with Delta Lake / Delta tables and large-scale structured and semi-structured datasetsDevelop and optimize data transformation and data processing pipelinesWork with Spark SQL and PySpark where requiredDesign efficient dimensional, star-schema, and analytics-friendly data modelsOptimize query performance across ThoughtSpot and DatabricksWork with Unity Catalog, data governance, access controls, metadata, and data lineageTroubleshoot data quality, performance, connectivity, and analytics issuesTranslate complex business requirements into scalable data and analytics solutionsPartner with business users, analysts, data engineers, and other technical teamsFollow enterprise standards for security, governance, scalability, and performanceRequired Skills5–8+ years of experience in Data Engineering, BI, Analytics Engineering, Data Warehousing, or related areasStrong hands-on experience with ThoughtSpotStrong hands-on experience with DatabricksAdvanced SQL skillsStrong understanding of Data Lake / Lakehouse architectureExperience with Delta Lake / Delta tablesExperience with Databricks SQL / SQL WarehousesExperience with large-scale data modeling and analyticsStrong understanding of joins, aggregations, dimensions, measures, KPIs, and business metricsExperience optimizing SQL queries and large analytical workloadsExperience working with cloud-based enterprise data platformsStrong troubleshooting and problem-solving skillsAbility to work directly with technical teams and business stakeholdersPreferred SkillsExperience with one or more of the following would be highly valuable:Unity CatalogPythonETL / ELT pipelinesMedallion architectureData governance and lineageSemantic layer / governed metricsRow-level and column-level securitydbtTableau, Power BI, or other enterprise BI platformsCI/CD and source-control practices for data/analytics developmentExperience working with very large datasets in high-scale enterprise environmentsWhat We Are Looking ForWe are particularly interested in candidates who are not limited to dashboard development.You should be comfortable understanding the complete analytics stack:Data Lake / Lakehouse → Databricks → Data Modeling → ThoughtSpot → Business InsightsYou should be able to investigate performance or data issues across these layers and work independently with engineering and business teams.Nice to HaveExperience implementing ThoughtSpot on top of DatabricksExperience designing governed self-service analytics solutionsExperience building semantic/data models supporting natural-language or search-based analyticsExperience in large technology-company environmentsExperience dealing with high-volume, high-concurrency analytical workloadsInterested?Please apply with your updated resume and include the following:Total years of experienceThoughtSpot experienceDatabricks experienceData Lake/Lakehouse experienceSQL experienceCurrent locationAvailability to work in the Bay AreaWork authorizationEarliest available start dateImmediate requirement | Bay Area, CA","company":"Ai8solutions Client Meta","rawCompany":"ai8solutions client meta","city":"Fremont","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-11T09:16:04.599Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"ThoughtSpot & Databricks Analytics Engineer","description":"Senior ThoughtSpot & Databricks Analytics Engineer / ConsultantLocation: Bay Area, CaliforniaEngagement: Contract / ConsultingExperience: 5–8+ yearsClient: MetaWork Arrangement: Bay Area – Hybrid / Onsite as requiredAbout the RoleWe are looking for an experienced ThoughtSpot & Databricks Analytics Engineer / Consultant to support a large-scale enterprise data and analytics environment for a leading technology client in the Bay Area.The ideal candidate will have strong hands-on experience with ThoughtSpot, Databricks, Data Lake/Lakehouse architecture, SQL, and data modeling, and will be comfortable working with large, complex datasets and business stakeholders.This is a hands-on role requiring a combination of BI/analytics, data engineering, performance optimization, and data modeling skills.Key ResponsibilitiesDesign, develop, and maintain analytics solutions using ThoughtSpotBuild and optimize ThoughtSpot Models/Worksheets, Answers, Liveboards, formulas, joins, and reusable analytical contentConnect ThoughtSpot with Databricks and enable scalable analytics on enterprise datasetsDesign and develop data solutions using Databricks Lakehouse / Data Lake architectureDevelop complex SQL queries and analytical datasets using Databricks SQLWork with Delta Lake / Delta tables and large-scale structured and semi-structured datasetsDevelop and optimize data transformation and data processing pipelinesWork with Spark SQL and PySpark where requiredDesign efficient dimensional, star-schema, and analytics-friendly data modelsOptimize query performance across ThoughtSpot and DatabricksWork with Unity Catalog, data governance, access controls, metadata, and data lineageTroubleshoot data quality, performance, connectivity, and analytics issuesTranslate complex business requirements into scalable data and analytics solutionsPartner with business users, analysts, data engineers, and other technical teamsFollow enterprise standards for security, governance, scalability, and performanceRequired Skills5–8+ years of experience in Data Engineering, BI, Analytics Engineering, Data Warehousing, or related areasStrong hands-on experience with ThoughtSpotStrong hands-on experience with DatabricksAdvanced SQL skillsStrong understanding of Data Lake / Lakehouse architectureExperience with Delta Lake / Delta tablesExperience with Databricks SQL / SQL WarehousesExperience with large-scale data modeling and analyticsStrong understanding of joins, aggregations, dimensions, measures, KPIs, and business metricsExperience optimizing SQL queries and large analytical workloadsExperience working with cloud-based enterprise data platformsStrong troubleshooting and problem-solving skillsAbility to work directly with technical teams and business stakeholdersPreferred SkillsExperience with one or more of the following would be highly valuable:Unity CatalogPythonETL / ELT pipelinesMedallion architectureData governance and lineageSemantic layer / governed metricsRow-level and column-level securitydbtTableau, Power BI, or other enterprise BI platformsCI/CD and source-control practices for data/analytics developmentExperience working with very large datasets in high-scale enterprise environmentsWhat We Are Looking ForWe are particularly interested in candidates who are not limited to dashboard development.You should be comfortable understanding the complete analytics stack:Data Lake / Lakehouse → Databricks → Data Modeling → ThoughtSpot → Business InsightsYou should be able to investigate performance or data issues across these layers and work independently with engineering and business teams.Nice to HaveExperience implementing ThoughtSpot on top of DatabricksExperience designing governed self-service analytics solutionsExperience building semantic/data models supporting natural-language or search-based analyticsExperience in large technology-company environmentsExperience dealing with high-volume, high-concurrency analytical workloadsInterested?Please apply with your updated resume and include the following:Total years of experienceThoughtSpot experienceDatabricks experienceData Lake/Lakehouse experienceSQL experienceCurrent locationAvailability to work in the Bay AreaWork authorizationEarliest available start dateImmediate requirement | Bay Area, CA","datePosted":"2026-09-11T09:16:04.599Z","dateModified":"2026-09-11T09:16:04.599Z","hiringOrganization":{"@type":"Organization","name":"Ai8solutions Client 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