Senior Data Architect responsible for designing and deploying a modern, greenfield data ecosystem to support the TOS II contract at Arnold Engineering Development Complex.
Compensation
L10: $148,000 - $197,500; L11: $171,000 - $228,000 / per year
Responsibilities
Architect scalable, high-throughput data pipelines and hybrid cloud/on-premise storage repositories
Translate product vision, feature backlogs, and user stories into technical system designs
Design real-time and batch ingestion architectures for massive telemetry and sensor data
Create and enforce enterprise-level data models, master data schemas, and data dictionaries
Implement DoD Zero-Trust data access principles and NIST SP 800-171/DoD 8570 controls
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related STEM field
Lead development and modernization of enterprise data pipelines, Lakehouse architecture components, data products, and integration capabilities
Guide complex migration and modernization efforts, including Redshift-to-Databricks transitions
Lead engineering efforts supporting Databricks AI/BI dashboards, Genie Agents, Genie One, semantic models, governed data products, data marts, and advanced analytics capabilities
Requirements
Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or a related technical discipline or equivalent combination of education and experience
Nice to have: Master's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or a related technical discipline
Nice to have: 8+ years of progressive experience in enterprise data engineering
The Data Architect defines and governs the enterprise data architecture for a modern Azure-based platform integrating Avatar, Salesforce, and financial systems. This role establishes a scalable, consistent, and governed data ecosystem aligned with business and regulatory requirements. A critical responsibility is reverse engineering the Avatar NX EHR data model, due to limited vendor documentation, to enable accurate integration, reporting, and long-term data governance.
Compensation
$140,000- $160,000 commensurate with experience
Responsibilities
Design end-to-end Azure data architecture (ingestion, staging, curated, reporting layers)
Define enterprise data domains (Clinical, RCM, CRM, Finance)
Establish canonical data models (e.g., Patient, Encounter, Claim, Revenue)
Reverse engineer and document the Avatar NX data model, including table structures, relationships, and data flows
Enterprise ERDs and logical models
Requirements
Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field
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