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

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field
8+ years of relevant experience
Strong experience with data modeling (conceptual, logical, semantic, and physical)
Hands-on experience on assembling and implementing DDL for Tables, Views, SQL frameworks, and Security policies within relational database systems
Understanding of Data Replication products, preferably Oracle’s Golden Gate replication
Hands-on experience with cloud data platforms such as Snowflake, AWS, Azure, or GCP
Hands-on experience working with ETL/ELT/API developers on the design and implementation of data integration pipelines; preferably experience with Informatica
Proficiency in SQL and understanding of performance optimization techniques
Experience working with Data Architects and cross-functional technical teams
Strong analytical and problem-solving skills.
US Citizenship is required.

Benefits

competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data integration solutionsdata modelingDDLSQLETLELTdata replicationperformance optimizationdata qualitydata validation

Soft Skills

analytical skillsproblem-solving skillscollaborationcommunication

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information Systems