• Design and implement data integration solutions across enterprise systems and cloud data platforms (e.g., Oracle, Snowflake, AWS, Azure) • Extend existing physical data models into logical and semantic data models that support analytics and AI use cases • Partner with data owners and CDAO technical staff to define, design, and refine enterprise data products, including domains, schemas, interfaces, SLAs, and consumption patterns • Collaborate with the team to translate enterprise architecture standards and data governance guidelines into implementable models (logical, physical, domain) and integration patterns • Work closely with Data Engineers to ensure pipelines are aligned to target logical, physical, domain, and semantic models • Develop, implement, and maintain dimensional, relational, and domain-driven data product models and databases using the IDERA /Embarcadero suite of products • Ensure assets are optimized for performance, scalability, and AI-readiness within scalable cloud-native data platforms • Collaborate with data owners and CDAO technical staff to develop and maintain Leidos data protection and data privacy policies governing data use • Collaborate with CDAO technical staff to develop and maintain the IDERA / Embarcadero repository and portal data objects • Support metadata registration and governance alignment within Collibra • Implement data integration patterns including batch, streaming, API-based, and event-driven architectures • Participate in data quality and validation processes to ensure trusted, production-ready data products • Contribute to documentation, standards, and modeling best practices