Lighthouse Technology Services is partnering with our client to fill their Enterprise Architect - Data & AI position! This is a 6 month contract-to-hire opportunity and will be remote in the United States. This role will be a W2 employee of Lighthouse Technology Services.
What You'll Be Doing:
Define and maintain the enterprise conceptual and logical architecture for data and AI ecosystems, including data domains, exchange patterns, pipelines, model integration, and analytics platforms
Drive standardization of data exchange patterns (event-driven, batch, streaming, API-based) to ensure consistency, scalability, and interoperability across the enterprise
Collaborate with technology domain leadership to document, visualize, and articulate current and target states of Enterprise Architecture, developing strategic roadmaps aligned with industry trends
Establish enterprise design principles for data reconciliation, integrity, traceability, and lineage to meet regulatory requirements and governance standards
Provide thought leadership and consultation services to improve technology delivery, operational efficiency, and strategic decision-making across domains
Translate future-state architecture vision into actionable principles, guidelines, standards, and patterns that ensure alignment with broader enterprise goals
Partner with delivery teams on business, application, data, Cloud/infrastructure, security, and integration architecture in preparation for leadership meetings and governance reviews
Research and evaluate emerging technologies and trends to identify opportunities for solving domain problems through new products, platforms, or system enhancements
Create and maintain reference materials and enterprise patterns for technical delivery teams, ensuring AI models consume and produce data in a governed and auditable manner
What You'll Need to Have:
7+ years of experience developing and integrating applications using software architecture principles and patterns, with at least 11 years combined higher education and/or relevant work experience (or Bachelor's degree with 7 years experience)
Deep expertise in data and AI architecture, including data platforms, integration frameworks, model hosting, and analytics tooling
Strong proficiency in enterprise architecture frameworks and tools, with demonstrated ability to translate complex technical concepts into clear executive communications
Experience working in software engineering, software delivery, and/or solution architecture roles
Solid understanding of regulatory compliance requirements (e.g., BCBS239, model risk, data protection) and how to embed governance and data quality by design
Proven ability to build strong stakeholder partnerships and influence senior leadership on strategic technology decisions
Experience working in Agile environments and the financial services industry strongly preferred
Certification in enterprise architecture frameworks and Cloud technologies highly desirable