{"schemaVersion":"jobsearcher.job.v1","id":"711af97e77d4f15e7a4531a5","url":"https://jobsearcher.com/jobs/711af97e77d4f15e7a4531a5","canonicalUrl":"https://jobsearcher.com/jobs/711af97e77d4f15e7a4531a5","title":"Architect \\ DataBricks","description":"Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.\n\nJob Title: Architect \\ DataBricks\n\nLocation(s): Austin, TX (Hybrid)\n\nRole Summary\nThe Enterprise Data Architect will lead the design of a Data Lakehouse architecture modernizing a data environment to become the single-source of truth for a multi-sourcing service provider landscape. This role requires deep expertise in Data Architecture and Modeling, Microsoft Azure, Databricks, Unity Catalog, and semantic modeling built and operating in an Agile Software Engineering methodology using Product Oriented Delivery (POD). The architect must also be able to articulate high-level technology benefits in business terms to drive stakeholder alignment and facilitate adoption of modern data management techniques.\n\nThe Data Architect partners closely with technology office, platform teams, providers, and stakeholders to translate business requirements and technology considerations into architectural designs that will lead the development of performing, governed, and production-ready data solutions expanding the platform using Agile Software Engineering methodologies (e.g. GitHub and SDLC based on CI/CD). This role owns data architecture, semantic modeling standards, and governance patterns, while enabling engineering teams to implement at scale.\n\nKey Responsibilities\n\nArchitect and govern the data management platform for data ingestion, data consumption, semantic modeling, analytics, and AI readiness.\n\nDesign master data and canonical data modeling for the ability to represent the single-source-of truth for data consumers.\n\nDesign reference architecture, patterns, standards, and lower-level technical solutions documentation for the data system, ingestion, transformation, and reporting pipelines.\n\nIntegrate ServiceNow SLA data and ApptioOne financial models into the Lakehouse.\n\nDefine and enforce governance policies using Unity Catalog.\n\nCollaborate with the client, Capgemini resources, and providers to align architecture with business goals.\n\nDesign Data Quality and exception frameworks for data engineer reusability.\n\nBuild reusable frameworks for data engineers to develop near real-time data and batch products such as customer consumption and cost for upstream consumption, detailed analysis and executive dashboards.\n\nChampion the integration and use of data management with providers and stakeholders.\n\nProvide architectural direction for CI/CD pipeline development and DevOps automation for data workflows.\n\nExplain high-level technology benefits of data management to leadership and stakeholders.\n\nRecommend and implement the most efficient operational practices for Databricks in standard build configuration.\n\nRequired Skills & Experience\n\n8+ years in Data Architecture, with 3+ years in Databricks and Power BI.\n\nProven experience designing and implementing Platinum or Semantic Layers.\n\nStrong understanding of Medallion Architecture and Unity Catalog.\n\nHands-on integration experience with ServiceNow (SLA, CMDB, incident data).\n\nHands-on integration experience with ApptioOne (cost modeling, allocations).\n\nStrong working knowledge of Python, Spark, SQL, and Power BI sufficient to define architectural patterns, review implementations, and guide engineering teams.\n\nExperience with MLflow, Feature Store, and AI/ML pipelines.\n\nExperience with Azure data platform services (e.g., ADLS Gen2, Azure-native orchestration, and integration patterns)\n\nFamiliarity with Azure DevOps and GitHub Actions.\n\nExcellent communication and stakeholder engagement skills.\n\nPreferred Qualifications\n\nExperience in public sector environments.\n\nITIL 4 / ITIL 5 Certification.\n\nApptioOne and ServiceNow development experience.\n\nExperience with SLA breach forecasting and cost optimization models.\n\nAmpcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.\n\n#J-18808-Ljbffr","company":"Ampcus","rawCompany":"ampcus","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-20T03:07:55.969Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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"}],"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":"Architect \\ DataBricks","description":"Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.\n\nJob Title: Architect \\ DataBricks\n\nLocation(s): Austin, TX (Hybrid)\n\nRole Summary\nThe Enterprise Data Architect will lead the design of a Data Lakehouse architecture modernizing a data environment to become the single-source of truth for a multi-sourcing service provider landscape. This role requires deep expertise in Data Architecture and Modeling, Microsoft Azure, Databricks, Unity Catalog, and semantic modeling built and operating in an Agile Software Engineering methodology using Product Oriented Delivery (POD). The architect must also be able to articulate high-level technology benefits in business terms to drive stakeholder alignment and facilitate adoption of modern data management techniques.\n\nThe Data Architect partners closely with technology office, platform teams, providers, and stakeholders to translate business requirements and technology considerations into architectural designs that will lead the development of performing, governed, and production-ready data solutions expanding the platform using Agile Software Engineering methodologies (e.g. GitHub and SDLC based on CI/CD). This role owns data architecture, semantic modeling standards, and governance patterns, while enabling engineering teams to implement at scale.\n\nKey Responsibilities\n\nArchitect and govern the data management platform for data ingestion, data consumption, semantic modeling, analytics, and AI readiness.\n\nDesign master data and canonical data modeling for the ability to represent the single-source-of truth for data consumers.\n\nDesign reference architecture, patterns, standards, and lower-level technical solutions documentation for the data system, ingestion, transformation, and reporting pipelines.\n\nIntegrate ServiceNow SLA data and ApptioOne financial models into the Lakehouse.\n\nDefine and enforce governance policies using Unity Catalog.\n\nCollaborate with the client, Capgemini resources, and providers to align architecture with business goals.\n\nDesign Data Quality and exception frameworks for data engineer reusability.\n\nBuild reusable frameworks for data engineers to develop near real-time data and batch products such as customer consumption and cost for upstream consumption, detailed analysis and executive dashboards.\n\nChampion the integration and use of data management with providers and stakeholders.\n\nProvide architectural direction for CI/CD pipeline development and DevOps automation for data workflows.\n\nExplain high-level technology benefits of data management to leadership and stakeholders.\n\nRecommend and implement the most efficient operational practices for Databricks in standard build configuration.\n\nRequired Skills & Experience\n\n8+ years in Data Architecture, with 3+ years in Databricks and Power BI.\n\nProven experience designing and implementing Platinum or Semantic Layers.\n\nStrong understanding of Medallion Architecture and Unity Catalog.\n\nHands-on integration experience with ServiceNow (SLA, CMDB, incident data).\n\nHands-on integration experience with ApptioOne (cost modeling, allocations).\n\nStrong working knowledge of Python, Spark, SQL, and Power BI sufficient to define architectural patterns, review implementations, and guide engineering teams.\n\nExperience with MLflow, Feature Store, and AI/ML pipelines.\n\nExperience with Azure data platform services (e.g., ADLS Gen2, Azure-native orchestration, and integration patterns)\n\nFamiliarity with Azure DevOps and GitHub Actions.\n\nExcellent communication and stakeholder engagement skills.\n\nPreferred Qualifications\n\nExperience in public sector environments.\n\nITIL 4 / ITIL 5 Certification.\n\nApptioOne and ServiceNow development experience.\n\nExperience with SLA breach forecasting and cost optimization models.\n\nAmpcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.\n\n#J-18808-Ljbffr","datePosted":"2026-04-20T03:07:55.969Z","dateModified":"2026-04-20T03:07:55.969Z","hiringOrganization":{"@type":"Organization","name":"Ampcus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"711af97e77d4f15e7a4531a5"},"url":"https://jobsearcher.com/jobs/711af97e77d4f15e7a4531a5"}}