Principal Data Enterprise Architect@Multiple locations

Job Description

Job Description

Position: Principal Data Enterprise Architect

Location - 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, NC

C2C rate:$60/hr

W2 rate $40hr

The 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 & Architecture o Establish and evangelize the enterprise data vision, principles, and target architecture aligned to business strategy o Design the transition from legacy point-to-point integrations to domain-aligned data products Drive Data Product Operating Model o Partner with Data Governance Office to define standards for data products, including ownership, lifecycle, quality, and consumption models o Establish clear systems of record and authoritative data sources across domains Develop and Execute Transformation Roadmap o Build a prioritized, multi-year roadmap to modernize data platforms and integrations o Sequence migration of consumers from legacy data assets to modern data products Lead Enterprise Data Modernization o Drive adEligible to workion of scalable, event-driven, and real-time data patterns to reduce duplication and latency o Evaluate and guide selection of data platforms, tools, and integration technologies Governance and Standards o Partner with Data Governance Office to establish enterprise data governance frameworks, standards, and metrics to ensure quality, consistency, and compliance o Partner with security, legal, and compliance teams to align with regulatory requirements Stakeholder Alignment & Change Leadership o Align business and IT leaders on data ownership, priorities, and adEligible to workion strategies o Drive enterprise-wide adEligible to workion and migration to new data products through strong influence and communication Mentorship & Leadership o Provide architectural leadership and mentoring across data, integration, and domain architecture teams Promote best practices and build enterprise-wide data architecture capabilities

Required Skills: Required Qualifications 10 years of experience in enterprise or data architecture, with deep expertise in data architecture and strategy Proven 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 platforms Demonstrated ability to define enterprise roadmaps and execute across complex organizations Expertise in data governance, data modeling, and systems of record Strong executive communication and stakeholder management skills

Preferred Qualifications: Experience implementing data product or domain-driven data architectures Experience in healthcare or regulated industries Familiarity with enterprise architecture frameworks (e.g., TOGAF) Experience working with modern data platforms (e.g., cloud data lakes, streaming technologies, API management platforms)