{"schemaVersion":"jobsearcher.job.v1","id":"6bbfab5b17409dc8cf5578b3","url":"https://jobsearcher.com/jobs/6bbfab5b17409dc8cf5578b3","canonicalUrl":"https://jobsearcher.com/jobs/6bbfab5b17409dc8cf5578b3","title":"Data Architect","description":"Role PurposeDefine enterprise data architecture standards, create data exchange and ingestion frameworks, establish data quality and governance patterns, and develop the data domain models and templates that ensure consistent, high-quality data across the organization. This role creates enterprise data patterns and frameworks, not operational data solutions.What Makes This Role UniqueData framework architect: Design the data ingestion framework with schema validation, quality checks, and exception handling used enterprise-wideData quality champion: Embed quality into frameworks at ingestion, not as afterthoughtExchange pattern owner: Create the patterns for internal and third-party data exchangeStrategic partnership: Collaborate closely with Data Platform Enablement team (they operate the platform, you create the patterns)Key ResponsibilitiesEnterprise Data Standards & Patterns (40%)Help define enterprise data modeling standards (conceptual, logical, physical, dimensional models)Create data domain model standards with quality framework integrationDefine data architecture patterns for common scenarios (OLTP, OLAP, streaming, hybrid)Document data persistence patterns (SQL vs NoSQL selection, data lake vs warehouse, caching)Create master data management patterns and reference data standardsEstablish data lifecycle management standards (retention, archival, purging)Data Exchange & Ingestion Frameworks (35%)Design enterprise data ingestion framework:Central pipeline architecture for all data ingestion (batch, streaming, real-time)Schema validation framework (enforce schemas at ingestion, schema registry)Data quality validation framework integrated into pipeline (completeness, accuracy, consistency, timeliness)Exception handling framework (quarantine, alerts, remediation workflows)Data lineage tracking through ingestion pipelineCreate data exchange patterns for:Internal system-to-system data sharingThird-party data exchange (inbound/outbound): SFTP/API patterns, data format standards, partner onboarding templates, data contract templatesReal-time vs batch exchange criteriaAdditional responsibilities:Define data integration patterns (ETL, ELT, streaming, CDC, data virtualization)Establish data API standards (data services, data APIs vs transactional APIs)Data Quality & Governance Frameworks (15%)Create enterprise data quality framework (quality dimensions, metrics, rules by domain, monitoring, remediation)Define data governance patterns (stewardship model, cataloging standards, metadata management, lineage and impact analysis)Establish data privacy and protection patterns (PII handling, encryption, masking, tokenization)Document data classification framework (public, internal, confidential, restricted)Roadmap & Enablement (10%)Develop enterprise data architecture modernization roadmapTrain solution architects on data patterns and frameworksReview solution architectures for data pattern complianceCoordinate with Data Platform Enablement team on platform capabilities vs patternsParticipate in data governance forumsRequired QualificationsEducation:Bachelor's degree in Computer Science, Information Systems, Data Science, or related fieldExperience:12+ years in data architecture, data engineering, or enterprise architecture5+ years creating enterprise data standards, frameworks, and patternsProven experience designing data ingestion frameworks with quality and governanceExperience with data exchange patterns for internal and external partiesTrack record establishing canonical data models and data governance frameworksCertifications (Preferred):TOGAF certificationCloud data platform certification (AWS Data Analytics, Azure Data Engineer, Google Cloud Data Engineer)DAMA CDMP (Certified Data Management Professional)Data governance certificationRequired Technical SkillsSkill CategoryRequired SkillsProficiency LevelData StandardsData modeling standards (conceptual, logical, physical)ExpertData StandardsCanonical data model designExpertData StandardsData domain modelingExpertData Ingestion FrameworkCentral pipeline architectureExpertData Ingestion FrameworkSchema validation frameworkExpertData Ingestion FrameworkData quality framework integrationExpertData Ingestion FrameworkException handling frameworkAdvancedData Exchange PatternsInternal data exchange patternsExpertData Exchange PatternsThird-party data exchange patternsExpertData Exchange PatternsData contract templatesAdvancedData Quality FrameworkQuality dimensions and metricsExpertData Quality FrameworkQuality validation rulesAdvancedData GovernanceData governance frameworksAdvancedData GovernanceData cataloging standardsAdvancedData GovernanceData lineage patternsAdvancedPlatform KnowledgeCloud data platforms (AWS, Azure, GCP)AdvancedPlatform KnowledgeData lake and warehouse patternsExpertPlatform KnowledgeData pipeline patternsAdvancedPreferred QualificationsExperience in healthcare or financial services with complex data exchange requirementsTrack record implementing data quality frameworks at enterprise scaleExperience with third-party data exchange and partner onboardingPublished thought leadership on data architecture or data qualityExperience with data privacy regulations (HIPAA, GDPR, CCPA)Success Metrics (First 12 Months)Data quality validation pass rate >95% through ingestion frameworkOnboard 10+ data sources to central ingestion frameworkEstablish data exchange patterns adopted by 80%+ of new integrationsCanonical model coverage for 15+ core enterprise entitiesData governance framework operational with 90%+ cataloging complianceWhat You'll DeliverData ingestion framework with schema validation, quality checks, exception handlingData exchange patterns for internal and third-party dataData quality framework integrated with domain modelsData governance patterns and templatesData integration pattern libraryData architecture reference architecturesData API standardsWorking RelationshipsKey Partnerships:Data Platform Enablement team (they operate platform, you create patterns)Solution architects (apply data patterns)Data stewards and data governance councilIntegration Architect (data exchange patterns)InfoSec team (data privacy and protection patterns)Governance Participation:Architecture Review Board (bi-weekly)Data governance forumsPattern Review Sessions (bi-weekly)Company Culture & ValuesOur Enterprise Architecture team operates on principles of collaboration, excellence, and innovation:Pattern-first mindset: We create reusable blueprints that enable consistency and qualityPartnership model: We work alongside operational teams (App Dev, Data Platform, Infrastructure, InfoSec) as strategic partnersContinuous improvement: Patterns evolve based on feedback from implementationEnablement focus: Success means solution architects effectively apply our patternsExecutive backing: Strong leadership support for architecture governance and standards","company":"Techdoquest","rawCompany":"techdoquest","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-05-11T21:56:51.023Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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":"Data Architect","description":"Role PurposeDefine enterprise data architecture standards, create data exchange and ingestion frameworks, establish data quality and governance patterns, and develop the data domain models and templates that ensure consistent, high-quality data across the organization. This role creates enterprise data patterns and frameworks, not operational data solutions.What Makes This Role UniqueData framework architect: Design the data ingestion framework with schema validation, quality checks, and exception handling used enterprise-wideData quality champion: Embed quality into frameworks at ingestion, not as afterthoughtExchange pattern owner: Create the patterns for internal and third-party data exchangeStrategic partnership: Collaborate closely with Data Platform Enablement team (they operate the platform, you create the patterns)Key ResponsibilitiesEnterprise Data Standards & Patterns (40%)Help define enterprise data modeling standards (conceptual, logical, physical, dimensional models)Create data domain model standards with quality framework integrationDefine data architecture patterns for common scenarios (OLTP, OLAP, streaming, hybrid)Document data persistence patterns (SQL vs NoSQL selection, data lake vs warehouse, caching)Create master data management patterns and reference data standardsEstablish data lifecycle management standards (retention, archival, purging)Data Exchange & Ingestion Frameworks (35%)Design enterprise data ingestion framework:Central pipeline architecture for all data ingestion (batch, streaming, real-time)Schema validation framework (enforce schemas at ingestion, schema registry)Data quality validation framework integrated into pipeline (completeness, accuracy, consistency, timeliness)Exception handling framework (quarantine, alerts, remediation workflows)Data lineage tracking through ingestion pipelineCreate data exchange patterns for:Internal system-to-system data sharingThird-party data exchange (inbound/outbound): SFTP/API patterns, data format standards, partner onboarding templates, data contract templatesReal-time vs batch exchange criteriaAdditional responsibilities:Define data integration patterns (ETL, ELT, streaming, CDC, data virtualization)Establish data API standards (data services, data APIs vs transactional APIs)Data Quality & Governance Frameworks (15%)Create enterprise data quality framework (quality dimensions, metrics, rules by domain, monitoring, remediation)Define data governance patterns (stewardship model, cataloging standards, metadata management, lineage and impact analysis)Establish data privacy and protection patterns (PII handling, encryption, masking, tokenization)Document data classification framework (public, internal, confidential, restricted)Roadmap & Enablement (10%)Develop enterprise data architecture modernization roadmapTrain solution architects on data patterns and frameworksReview solution architectures for data pattern complianceCoordinate with Data Platform Enablement team on platform capabilities vs patternsParticipate in data governance forumsRequired QualificationsEducation:Bachelor's degree in Computer Science, Information Systems, Data Science, or related fieldExperience:12+ years in data architecture, data engineering, or enterprise architecture5+ years creating enterprise data standards, frameworks, and patternsProven experience designing data ingestion frameworks with quality and governanceExperience with data exchange patterns for internal and external partiesTrack record establishing canonical data models and data governance frameworksCertifications (Preferred):TOGAF certificationCloud data platform certification (AWS Data Analytics, Azure Data Engineer, Google Cloud Data Engineer)DAMA CDMP (Certified Data Management Professional)Data governance certificationRequired Technical SkillsSkill CategoryRequired SkillsProficiency LevelData StandardsData modeling standards (conceptual, logical, physical)ExpertData StandardsCanonical data model designExpertData StandardsData domain modelingExpertData Ingestion FrameworkCentral pipeline architectureExpertData Ingestion FrameworkSchema validation frameworkExpertData Ingestion FrameworkData quality framework integrationExpertData Ingestion FrameworkException handling frameworkAdvancedData Exchange PatternsInternal data exchange patternsExpertData Exchange PatternsThird-party data exchange patternsExpertData Exchange PatternsData contract templatesAdvancedData Quality FrameworkQuality dimensions and metricsExpertData Quality FrameworkQuality validation rulesAdvancedData GovernanceData governance frameworksAdvancedData GovernanceData cataloging standardsAdvancedData GovernanceData lineage patternsAdvancedPlatform KnowledgeCloud data platforms (AWS, Azure, GCP)AdvancedPlatform KnowledgeData lake and warehouse patternsExpertPlatform KnowledgeData pipeline patternsAdvancedPreferred QualificationsExperience in healthcare or financial services with complex data exchange requirementsTrack record implementing data quality frameworks at enterprise scaleExperience with third-party data exchange and partner onboardingPublished thought leadership on data architecture or data qualityExperience with data privacy regulations (HIPAA, GDPR, CCPA)Success Metrics (First 12 Months)Data quality validation pass rate >95% through ingestion frameworkOnboard 10+ data sources to central ingestion frameworkEstablish data exchange patterns adopted by 80%+ of new integrationsCanonical model coverage for 15+ core enterprise entitiesData governance framework operational with 90%+ cataloging complianceWhat You'll DeliverData ingestion framework with schema validation, quality checks, exception handlingData exchange patterns for internal and third-party dataData quality framework integrated with domain modelsData governance patterns and templatesData integration pattern libraryData architecture reference architecturesData API standardsWorking RelationshipsKey Partnerships:Data Platform Enablement team (they operate platform, you create patterns)Solution architects (apply data patterns)Data stewards and data governance councilIntegration Architect (data exchange patterns)InfoSec team (data privacy and protection patterns)Governance Participation:Architecture Review Board (bi-weekly)Data governance forumsPattern Review Sessions (bi-weekly)Company Culture & ValuesOur Enterprise Architecture team operates on principles of collaboration, excellence, and innovation:Pattern-first mindset: We create reusable blueprints that enable consistency and qualityPartnership model: We work alongside operational teams (App Dev, Data Platform, Infrastructure, InfoSec) as strategic partnersContinuous improvement: Patterns evolve based on feedback from implementationEnablement focus: Success means solution architects effectively apply our patternsExecutive backing: Strong leadership support for architecture governance and standards","datePosted":"2026-05-11T21:56:51.023Z","dateModified":"2026-05-11T21:56:51.023Z","hiringOrganization":{"@type":"Organization","name":"Techdoquest","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6bbfab5b17409dc8cf5578b3"},"url":"https://jobsearcher.com/jobs/6bbfab5b17409dc8cf5578b3"}}