Define and evolve enterprise data architecture and canonical models across ERP, PLM, MES, HR, and IT. Lead ingestion, reliability, performance, semantic layer governance, data quality, lineage, and long-term data platform strategy to enable analytics and operational execution.
Hermeus is a high-speed aircraft manufacturer focused on the rapid design, build, and test of high-Mach and hypersonic aircraft for the national interest. Working directly with the Department of Defense, Hermeus delivers capabilities that will ensure that our nation, and our allies, maintain an asymmetric advantage over any and all potential adversaries.
Hermeus is building a unified enterprise data platform as a core pillar of its digital transformation. This platform integrates ERP, Manufacturing, Engineering, HR, IT, and operational systems into a scalable foundation that supports decision-making, analytics, and long-term digital thread continuity.
To ensure our data architecture scales with the complexity of our business, we are creating the foundational role of Enterprise Data Architect.
This individual will establish and evolve the architectural foundation that ensures enterprise data is accurate, structured, governed, and ready for analytics and operational execution across the company.
This role is expected to evolve in scope as the enterprise data platform matures, with increasing influence across business domains and enterprise technology strategy.
Responsibilities:
- Enterprise Data Architecture & Modeling
- Define and evolve the enterprise data architecture across PLM,ERP, MES, HR, IT
- Establish dimensional modeling standards (fact/dimension conventions) and canonical entity definitions
- Design scalable integration patterns that support onboarding new systems without structural rework
- Align operational and analytical models
- Cross-System Canonical Data & Integration Governance
- Define and maintain canonical enterprise entities
- Establish enterprise-wide naming conventions, data ownership standards, data definitions across systems and modeling governance
- Partner with application owners to align upstream system design with downstream analytics needs
- Ingestion, Reliability & Platform Performance
- Strengthen ingestion reliability, monitoring, and change-detection patterns
- Improve performance through indexing, partitioning, and workload optimization
- Implement scalable incremental load strategies and reconciliation processes
- Ensure platform stability as data volume and system count increase
- Analytics & Semantic Layer Governance
- Centralize business logic currently dispersed across BI models
- Establish reusable semantic patterns that simplify reporting and metric consistency
- Improve Power BI performance and model clarity
- Data Quality & Traceability
- Implement pragmatic governance standards (lineage, ownership, quality checks)
- Define history and audit strategies where required (financial traceability, manufacturing effectivity, people/device lifecycle changes)
- Identify systemic data quality trends and drive structural improvements
- Long-Term Data Strategy & Platform Evolution
- Define and own the enterprise data architecture roadmap
- Evaluate platform and tooling evolution decisions based on measurable business impact
- Influence cross-functional enterprise technology decisions related to data integration and analytics infrastructure
- Enable advanced analytics, forecasting, optimization, and AI-driven capabilities
- Lay the foundation for a future enterprise data function
Minimum Requirements:
- Bachelors degree in Computer Science, Information Systems, Software engineering, or similar
- 6+ years building and scaling enterprise data platforms
- Deep SQL expertise (query optimization, indexing, execution plans, modeling discipline)
- Experience designing ODS-style integration layers and dimensional warehouse architectures
- Experience integrating multiple enterprise systems (ERP, HRIS, manufacturing, Engineering systems, SaaS platforms)
- Strong understanding of canonical modeling and fact/dimension design
- Experience implementing incremental load and change-detection strategies
- Experience supporting enterprise BI platforms (Power BI or equivalent)
- Ability to translate business complexity into scalable data structures
Preferred Skills & Experience:
- Experience in manufacturing, aerospace, or hardware-driven environments
- ERP/MES/PLM integration experience
- Experience scaling data platforms in mid-stage growth companies
- Exposure to data governance frameworks and metadata management
- Experience evaluating cloud data platform evolution strategies
U.S. EXPORT CONTROL COMPLIANCE STATUS
The person hired will have access to information and items subject to U.S. export controls, and therefore, must either be a “U.S. person” as defined by 22 C.F.R. § 120.62 or otherwise eligible for deemed export licensing. US persons include U.S. citizens, U.S. nationals, lawful permanent residents (green card holders), and asylees and refugees with such status granted, not pending.
EQUAL OPPORTUNITY
Hermeus is an Equal Opportunity Employer. Employment decisions at Hermeus are based solely on merit, competence, and qualifications, without regard to race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
Top Skills
Sql,Power Bi,Erp,Hris,Mes,Plm,Ods,Dimensional Data Warehouse,Canonical Data Modeling,Fact/Dimension Modeling,Etl,Change Data Capture,Incremental Load,Indexing,Partitioning,Cloud Data Platform,Metadata Management,Data Governance,Bi Semantic Layer
Hermeus Los Angeles, California, USA Office
Los Angeles, CA, United States
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