Principal Data Enterprise Architect

Principal Data Enterprise Architect$60-65/hr C2C OR $50-55/hr W2Location - Louisville, KY · Dallas/Frisco, TX · Washington, DC (Arlington, VA) · Chicago, IL · Fort Lauderdale, FL · Tampa, FL · New York, NY · Boston, MA · Atlanta, GA · Nashville, TN · Charlotte, NCThe Principal Data Enterprise Architect is a senior strategic leader responsible for defining and executing the enterprise data strategy and architecture, guiding the transformation from fragmented, point-to-point integrations to a modern, domain-driven data product model. You will establish the target architecture, define data products and systems of record, and create a clear roadmap to migrate consumers from legacy data assets to trusted, governed data solutions. By driving alignment across business and technology teams, modernizing data integration patterns, and establishing governance and standards, you will reduce duplication, improve data quality, and enable scalable, high-value data capabilities that support digital, analytics, and AI outcomes.The Principal Data Enterprise Architect is a senior strategic leader responsible for defining and driving the enterprise data architecture vision, strategy, and roadmap. You will lead the transformation from fragmented, point-to-point data integrations to a modern, scalable data product model that delivers trusted, governed, and reusable data aligned to business domains. This architect will partner with business and technology leaders to establish clear data ownership, reduce duplication, improve data quality, and enable consistent, enterprise-wide data consumption to support digital, analytics, and AI initiatives.This position falls within our Individual Contributor career pathway, and it will not manage any direct reports.Key Responsibilities:Define Enterprise Data Strategy & ArchitectureEstablish and evangelize the enterprise data vision, principles, and target architecture aligned to business strategyDesign the transition from legacy point-to-point integrations to domain-aligned data productsDrive Data Product Operating ModelPartner with Data Governance Office to define standards for data products, including ownership, lifecycle, quality, and consumption modelsEstablish clear systems of record and authoritative data sources across domainsDevelop and Execute Transformation RoadmapBuild a prioritized, multi-year roadmap to modernize data platforms and integrationsSequence migration of consumers from legacy data assets to modern data productsLead Enterprise Data ModernizationDrive adEligible to workion of scalable, event-driven, and real-time data patterns to reduce duplication and latencyEvaluate and guide selection of data platforms, tools, and integration technologiesGovernance and StandardsPartner with Data Governance Office to establish enterprise data governance frameworks, standards, and metrics to ensure quality, consistency, and compliancePartner with security, legal, and compliance teams to align with regulatory requirementsStakeholder Alignment & Change LeadershipAlign business and IT leaders on data ownership, priorities, and adEligible to workion strategiesDrive enterprise-wide adEligible to workion and migration to new data products through strong influence and communicationMentorship & LeadershipProvide architectural leadership and mentoring across data, integration, and domain architecture teamsPromote best practices and build enterprise-wide data architecture capabilitiesRequired Skills:Required Qualifications10+ years of experience in enterprise or data architecture, with deep expertise in data architecture and strategyProven leadership in large-scale data transformation initiatives (data platforms, integrations, or migrations)Strong experience with data integration patterns, including APIs, event-driven architectures, and cloud data platformsDemonstrated ability to define enterprise roadmaps and execute across complex organizationsExpertise in data governance, data modeling, and systems of recordStrong executive communication and stakeholder management skillsPreferred QualificationsExperience implementing data product or domain-driven data architecturesExperience in healthcare or regulated industriesFamiliarity with enterprise architecture frameworks (e.g., TOGAF)Experience working with modern data platforms (e.g., cloud data lakes, streaming technologies, API management platforms)