Senior Real-World Data Architect

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Cloud Applications, Cloud Solutions, Data Management, Data Science, Dataset Management

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is seeking an experienced Real-World Data Architect for upcoming opportunities to support large-scale real-world data initiatives. In this role, you will be responsible for the design and evolution of secure, cloud-based data architectures that integrate multiple disparate data sources to create research-ready datasets in secure enclaves and analytics platforms. You will work closely with data linkage, PPRL, cloud architecture, enclave, and program operations teams to ensure that real-world data are modeled, governed, and delivered in ways that are scalable, policy-compliant, and aligned with emerging real-world data expectations.

HOW A DATA ARCHITECT PRINCIPAL WILL MAKE AN IMPACT:

• Design and maintain end-to-end RWD data architectures that leverage centralized, federated, and hybrid platforms, while honoring complex DUAs, licensing terms, and privacy constraints.

• Define and evolve canonical data models, ontologies, metadata standards, and mapping strategies for real-world data sources, including implementation and management of changes over time.

• Partner with Data Linkage and PPRL subject matter experts so that linked data sets are structured, indexed, and partitioned to support efficient, reproducible research results and analytics.

• Architect cloud-native data flows and pipelines that meet FedRAMP/FISMA Moderate expectations and Zero Trust-aligned security requirements.

• Translate DUAs, IRB and Privacy Board decisions, and data broker/licensing agreements into technical controls, including deidentification, access, retention and audit rules.

• Implement and oversee data catalog, lineage, and metadata services so investigators and partners can discover available data assets, understand providence and linkage methods, and select appropriate data for studies, trials, and other use cases.

• Collaborate with real-world data initiatives and partners to align data models, APIs, and governance approaches, ensuring interoperability and re-use of data and methods across platforms.

• Provide architectural guidance and best practices to multidisciplinary teams (IT engineers, data engineers, linkage experts, security, analysts, and scientific users) and contribute to technical documentation, training materials, and design reviews.

• Support the growth of the FedHealth division by developing and maintaining high quality relationships with customers and partners, ensuring alignment with the National Institutes of Health's strategic direction.

WHAT YOU'LL NEED TO SUCCEED:

• Master’s degree in a relevant field or equivalent combination of education and experience.

• Minimum of 10 years of experience in data engineering, architectures, data science, clinical informatics, clinical data management, or equivalent experience working with biomedical information at scale.

• Demonstrated experience integrating health-related real-world data, such as claims, EHR/clinical data, registries, or commercial data, with practical familiarity with healthcare coding, harmonization, and longitudinal cohort design.

• Proven ability to interpret and implement data use constraints from DUAs, ethics and privacy reviews, and licensing agreements into technical designs, including access controls, retention, de-identification, and export rules.

• Hands-on experience with modern data architectures and tools, including batch and streaming ETL/ELT, workflow orchestration, metadata and catalog services, and scalable storage and query engines.

• Excellent communication and collaboration skills, with a track record of working effectively with senior leadership as well as multidisciplinary technical and scientific teams in government, research, or healthcare settings.

• Security Clearance: Able to obtain and maintain a Government Public Trust or higher.

• Location: Hybrid / Washington, DC metropolitan area preferred to support on-site collaboration with federal customers and other partners.

PREFERRED:

• Advanced degree in a relevant field (PhD, MD, or equivalent).

• Prior experience supporting Federal health, research or related agencies on data platforms, secure enclaves, or real-world data initiatives.

• Familiarity with healthcare interoperability and research standards (e.g., OMOP, HL7, FHIR, CDISC) and their application to real-world data.

• Experience aligning data architectures to support advanced analytics, including AI/ML.

GDIT IS YOUR PLACE:

• Full-flex work week to own your priorities at work and at home

• 401K with company match

• Comprehensive health and wellness packages

• Internal mobility team dedicated to helping you build your skills and own your career

• Professional growth opportunities including paid education and certifications

The likely salary range for this position is $198,050 - $267,950. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

10-25%

Telecommuting Options:

Hybrid

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans