Data Architect SME - FDA

Home > Career Center > Job Seekers > Job Search

Job Title: Data Architect SME - FDA

Company Name:	General Dynamics IT
Location:	Home Office, Hom
Position Type:	Full Time
Post Date:	05/23/2026
Expire Date:	06/22/2026
Job Categories:	Engineering, Information Technology

Job Description

Data Architect SME - FDA
GDIT is seeking a seasoned Databricks Architect with deep experience designing, optimizing, and governing modern data platforms, paired with the capability to lead daytoday execution of a complex, highvisibility enterprise datamigration program for a major federal health agency. This position plays two critical roles: (1) Drive Databricks platform strategy and support AIdriven initiatives across GDIT and federal health agencies (e.g., FDA, HRSA, CMS), and(2) Provide handson technical and managerial leadership for a missioncritical modernization and migration effort. This role is remote but requires travel to the DC/MD/VA area up to 3x a quarter.Primary Responsibilities: 1. Databricks Architecture & AI/ML Enablement (Platform-Focused) This work is distinct from the migration program and supports broader enterprise and client AI initiatives. Databricks Platform Architecture & GovernanceServe as the principal Databricks Architect, defining platform strategy, optimization patterns, and architectural governance for enterprisescale analytics and AI workloads.Architect and optimize environments leveraging Delta Lake, Unity Catalog, Databricks SQL, MLflow, and related services.Establish best practices for data modeling, data quality, lineage, observability, cataloging, security, and compute optimization within the Databricks ecosystem.AIDriven Initiatives (Internal & Federal Agency Support)Partner with internal GDIT AI teams to design and operationalize AI/MLready data architectures, including feature pipelines and modeltraining datasets.Support federal health agencies (FDA, HRSA, etc.) with Databricksbased solutions that enable:Predictive analyticsRealtime insightsMLaugmented data workflowsGovernancealigned delivery of AIdriven capabilitiesAdvice on Databricks roadmap adoption, new capabilities, and platform evolution for enterprise AI use cases.Cross-Program and Enterprise ConsultingProvide architecture review, advisory guidance, and bestpractice alignment across multiple GDIT programs leveraging Databricks.Lead technical assessments and proofofconcept efforts for advanced analytics, automation, and ML/AI integrations.2. Enterprise Data Migration Leadership (Delivery-Focused) This is a separate set of responsibilities and represents the daytoday operational focus. Program & Technical Execution LeadershipLead the daily execution of a largescale, complex datamigration and synchronization initiative supporting federal health systems modernization.Oversee extraction, transformation, mapping, profiling, validation, reconciliation, and synchronization of data across legacy and modern systems.Manage migration phases including highvolume batch loads, CDCdriven integration workflows, performance optimization, and defect triage.Team Leadership & Technical OversightLead, mentor, and guide multidisciplinary teams of data engineers and analysts involved in migration workstreams.Ensure alignment between architecture, implementation, testing, and operational support activities.Hands-On Engineering & TroubleshootingContribute directly to engineering tasks including:Writing and optimizing SQL for validation, reconciliation, and transformationDebugging complex pipeline issues, performance bottlenecks, and data anomaliesReviewing migration logic, data quality rules, and architectural alternativesSupport architecture decisions that ensure accuracy, reliability, and scalability of migration workflows.Delivery Management & Stakeholder CommunicationManage migration deliverables, timelines, risks, dependencies, and vendor interactions.Provide clear, actionable updates to federal stakeholders, leadership teams, and crossfunctional partners.Translate technical issues into businessrelevant insights for nontechnical audiences.Required QualificationsBachelors degree plus 15+ years of experience in data engineering, architecture, or platform modernization.5+ years of Databricks experience with deep architectural and engineering proficiency.Demonstrated, handson leadership in complex enterprise datamigration programs within the last 3 years.Experience working with the FDA, HRSA, and/or CMS required.Expertise in SQL, PySpark/Spark, Delta Lake, and cloudbased data engineering.Proven ability to lead highperforming technical teams.Strong understanding of datamigration patterns, CDC, reconciliation, and integration techniques.Experience with Agile, hybrid, or traditional delivery methodologies.Ability to obtain and maintain a Public Trust clearance.Preferred QualificationsFamiliarity with Unity Catalog, Databricks governance models, MLflow, DLT.Understanding of ETL/ELT frameworks, cloud platforms, and data governance.Executivelevel communication skills and comfort operating in ambiguous, fastmoving environments.

Share |