Data Architect Lead

🕒 August 29

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SAIC

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

☁️ SaaS

📣 Marketing

🏢 Enterprise

💰 $500M Post-IPO Debt - SAIC on 2025-09

SaaS • Marketing • Enterprise

SAIC is represented in the supplied content by marketing and product copy that matches Bitly — a cloud-based link management and QR-code platform. The material describes a SaaS offering for URL shortening, dynamic QR Codes, link analytics, mobile-friendly landing pages, branded links, UTM campaign tracking, digital business cards, developer APIs and AI-enhanced features. It targets marketers, developers, and enterprises across industries (retail, CPG, hospitality, media, healthcare, finance, education) and emphasizes integrations, analytics, and enterprise-grade capabilities. Note: the provided text appears to be Bitly’s website content rather than information about SAIC; if you intended the defense/technology firm SAIC (Science Applications International Corporation), please provide relevant content.

📋 Description

• Own the end-to-end data strategy for the Product Line • Develop and maintain product-specific data models and enterprise data architecture • Lead data mapping, extraction, transformation, migration, and analytics activities from VA legacy systems to modernized platforms • Develop and maintain data mapping, validation, and migration plans and schedules • Design, develop, test, and manage data tools for datasets from disparate sources • Maintain project management plans for data-tool development efforts • Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards • Ensure data delivered to third parties conforms to provided standards • Support VALIP cloud ecosystem development and automated data exchange with supply chain partners • Develop and maintain bi-directional interfaces between VALIP and Oracle Health EHR, iFAMS, and other enterprise systems • Implement AI/ML algorithms and Generative AI capabilities for predictive forecasting and near real-time inventory and demand insights • Develop a centralized supply chain dashboard for real-time monitoring of purchase orders, demand fluctuations, and inventory bottlenecks • Ensure data architecture and migration activities comply with VA security, privacy, and organizational controls

🎯 Requirements

• 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