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Data Architect Lead

SAICUnited States🇺🇸United StatesPosted 30 Aug 2026

Why This Role Stands Out

Lead the end-to-end data strategy for a critical Product Line at SAIC, driving impactful migration and AI/ML integration while enjoying a competitive salary of $160,001-$200,000 and the flexibility of remote work. You will thrive in this role if you are a skilled Data Architect passionate about developing robust data models, overseeing complex data migrations, and contributing to advanced analytics within a reputable organization. Apply now to shape the future of data architecture and analytics.

Quick Overview

Salary
$160.0k - $200k/yr
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
9 hours ago
SAFeOracleAWSETLAgileAzureData PipelineDatabricksGenerative AIHIPAA

Job Description

Job ID: 2616281

Location: Remote Work, TX, US

Date Posted: 2026-08-28

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_REMOTE

Description

Position Summary The Data Architect Lead owns the end-to-end data strategy for the Product Line, including data modeling, migration planning, ETL development, data governance, and analytics. This role is critical to the successful migration of legacy supply chain data (AEMS/MERS, GIP, Maximo) to modernized systems (DMLSS, LogiCole, VALIP) and the integration of AI/ML-driven analytics capabilities.

Key Responsibilities
  • Develop and maintain product-specific data models and enterprise data architecture aligned to Product Line standards
  • Lead data mapping, extraction, transformation, migration, and analytics activities from VA legacy systems to modernized platforms
  • Develop and maintain the Data Mapping and Validation Plan, Data Migration Plan and Schedule, and Data Mapping Document
  • Design, develop, test, and manage data tools to obtain and manage data sets from disparate sources; maintain project management plans for tool development efforts
  • Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards
  • Ensure data delivered to third parties (e.g., MEDLOG) conforms to provided standards
  • Support VALIP cloud ecosystem development, including automated data exchange between internal and external supply chain partners
  • Develop and maintain bi-directional interfaces between VALIP and Oracle Health EHR, iFAMS, and other enterprise systems; ensure data integrity and validated mappings
  • Implement AI/ML algorithms and Generative AI capabilities to enhance predictive forecasting and provide near real-time data insights into inventory levels and demand
  • Develop a Centralized Supply Chain Dashboard to monitor purchase orders, demand fluctuations, and inventory bottlenecks in real time
  • Ensure all data architecture and migration activities comply with VA security, privacy, and organizational controls


Qualifications

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Information Management, or related field and 13 years of experience
  • 8+ years of data architecture and data engineering experience, with federal health IT experience strongly preferred
  • Demonstrated experience with ETL development, data migration, and data governance in large-scale enterprise environments
  • Proficiency with database engineering, data modeling, and VA legacy systems (AEMS/MERS, GIP, Maximo, VistA)
  • Experience with cloud data platforms (AWS, Azure, VAEC) and data pipeline tools
  • Familiarity with FHIR data standards and HL7 messaging for healthcare interoperability
  • Knowledge of AI/ML and Generative AI frameworks for predictive analytics and supply chain optimization
  • Understanding of VA data governance standards, HIPAA/PHI requirements
  • Must be able to obtain and maintain a Public Trust


Preferred Certifications:
  • Certified Deployment Professional
  • Certified SAFe Agile Architect
  • Databricks Certified Data Engineer
  • Databricks Certified Generative AI Engineer
  • CDMP


Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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