SAIC

Data Architect Lead

SAIC • $120K — $145K *
El Paso, TX 79925Hybrid
Healthcare
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Information Management, or related field with 13 years of relevant experience.
  • 8+ years in data architecture and engineering, preferably in federal health IT.
  • Proven expertise in ETL development, data migration, and governance in large enterprises.
  • Strong proficiency in database engineering, data modeling, and familiarity with VA legacy systems.
  • Experience with cloud data platforms like AWS and Azure, as well as data pipeline tools.
  • Knowledge of FHIR standards and HL7 for healthcare interoperability.
  • Familiarity with AI/ML frameworks for predictive analytics and supply chain optimization.

Responsibilities

  • Develop and maintain data models and enterprise architecture for product lines.
  • Lead data migration activities from legacy systems to new platforms.
  • Create and manage Data Mapping and Validation Plans for migrations.
  • Design and manage data tools for data set acquisition and management.
  • Conduct data profiling and cleansing according to VA standards.
  • Ensure data compliance for third-party exchanges, like with MEDLOG.
  • Support development of a cloud ecosystem for automated data exchanges among supply chain partners.
  • Implement AI/ML algorithms to enhance predictive analytics.
  • Develop a dashboard for real-time monitoring of supply chain metrics.

Benefits

  • Comprehensive health coverage including medical, dental, and vision.
  • Retirement savings plans with employer contributions.
  • Professional development and training opportunities.
  • Paid time off and holiday leave policies.
  • Flexible work schedule options.
Full Job Description
Job 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


About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Information Technology
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ
SAIC
* Ladders Estimates

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