Role Description We are seeking a dynamic and experienced Platform Architect to join our team. This role is pivotal in bridging the gap between our R&D team and Field Sales Engineering and Customer Success teams. The ideal candidate will possess exceptional problem-solving skills, a deep understanding of cloud security solutions, and the interpersonal skills to prioritize and resolve issues efficiently while maintaining excellent relationships with all stakeholders. Responsibilities - Bridge R&D and Field Teams: - Act as a liaison between the R&D team and Field Sales Engineers and Customer Success teams. - Translate technical requirements and feedback between teams to ensure seamless communication and collaboration. - Operationalize Cloud Security Solutions: - Assist in the deployment and operationalization of complex cloud security solutions. - Ensure all components are functioning effectively and integrated smoothly. - Problem Solving and Issue Resolution: - Utilize strong analytical skills to diagnose and resolve technical issues quickly. - Prioritize tasks efficiently to ensure timely resolution of high-impact issues. - Enhance Customer Relationships: - Maintain a pleasant and professional relationship with all stakeholders, ensuring clear communication and understanding. - Provide expert guidance and support to Field Sales Engineers and Customer Success teams to enhance customer satisfaction. - Technical Expertise: - Stay updated with the latest trends and technologies in cloud security. - Provide technical insights and recommendations to improve product features and performance. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or a related field. - Proven experience as a Solution Architect, preferably in the cloud security domain. - Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and security solutions. - Exceptional problem-solving skills with the ability to analyze complex systems and processes. - Excellent interpersonal and communication skills, with a talent for building strong relationships. - Ability to work in a fast-paced environment and manage multiple priorities effectively. - Certifications in cloud security or related fields (e.g., AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP)) are a plus. Benefits - Ability to work remotely, with office setup reimbursement. - Competitive salary. - Paid holidays and sick time. - Health, vision, and dental insurance.

Role Description The Data & Semantic Model Architect will serve as the technical and strategic anchor for the "Semantic Layer" and the Common Data Model (CDM) of the Tetra Scientific Data and AI Cloud. You are the rare individual who can "do it all"—bridging deep technical semantics, system architecture, and business outcomes. Crucially, you will be the owner of the Common Model & Exchange Layer of our platform: a set of unified, reusable common data models that allow data to flow seamlessly across different customer environments while driving towards true Ontology. You will define the data contracts and consistent definitions that empower our Forward Deployed Scientific Data Engineers & Architects (FDEs) to deliver rapid, reliable integrations without reinventing the wheel for every deployment. You will ensure our models are not just academically sound, but serve as the robust foundation for scalable data exchange and scientific insight. What You Will Do - Common Data Model & Exchange Strategy - Architect the Exchange Layer: Design and own the Common Data Models (CDMs) that serve as the universal language for scientific data across our customer base. - Empower Forward Deployed Engineering: Create the data contracts and standardized definitions that FDEs rely on. - Standardization vs. Flexibility: Strike the strategic balance between rigid global standards and local flexibility. - Semantic Architecture & Implementation - The "Forest" – Business Alignment: Translate high-level business goals into concrete data modeling strategies. - The "Trees" – Hands-on Modeling: Roll up your sleeves to design and implement complex ontologies and taxonomies. - Software & Data Engineering Integration: Work directly with Engineering to architect the software systems that consume these models. - Cross-Functional Leadership & Governance - Data Contracts & Governance: Establish the "rules of the road" for data quality and consistency. - Scientific Translation: Partner with Scientific Business Analysts to decode the complexity of biopharma R&D. - Interoperability: Architect models that ensure our data is FAIR (Findable, Accessible, Interoperable, Reusable). Qualifications - Common Data Model Expertise: Proven ability to design shared data models that serve as an exchange format between different systems or organizations. - Data Contract Design: Experience defining and enforcing data contracts in a microservices or platform environment. - Architectural Versatility: The ability to switch context effortlessly between high-level system design and low-level entity relationship modeling. - Semantic Fluency: Deep, hands-on expertise with semantic web standards (RDF, OWL, SHACL, SPARQL) and property graph concepts (LPG). - 7+ years of experience in data architecture, informatics, or technical product leadership, specifically within life sciences, healthcare, manufacturing technology. - CDM Framework Expertise: Direct, hands-on experience implementing and extending Common Data Model frameworks such as HL7 FHIR, OMOP (OHDSI), Allotrope, or CDISC. - Terminology & Standardization: Proven mastery in standardizing messy, heterogeneous data using both standard vocabularies and proprietary or custom vocabularies. - Platform & Exchange Experience: Experience building data platforms where standardization and reusability were key value drivers. - Technical Background: Strong proficiency in software development concepts; comfortable reading code, understanding API contracts, and discussing database internals. - Education: Bachelor's or Master’s in a relevant field (e.g., Medical Informatics, Computer Science, Bioinformatics, Physics).

Role Description Navaide is seeking an SAP Infrastructure and Database Administration professional to support system landscape management, solution design, and middleware integration activities on a Department of Defense contract. This role supports Basis administration, HANA database management, and architectural documentation in support of steady-state operations and program-level design activities. - Administer and maintain SAP system landscapes including DEV, QA, and production environments - Support HANA database administration including backup, recovery, performance monitoring, and patching - Develop and maintain system architecture documentation and landscape diagrams - Support middleware integration activities across SAP and external systems - Coordinate with Basis, security, and functional teams on system configuration and transport management - Participate in system refresh, copy, and migration activities - Support infrastructure-related testing during releases, upgrades, and go-live events Qualifications - Minimum 5 years of SAP Basis or infrastructure experience - Hands-on HANA database administration experience - Experience with SAP Solution Manager or Cloud ALM - Understanding of SAP transport management and system landscape architecture - Eligibility for and willingness to obtain security clearance Requirements - Navy ERP or DoD ERP environment experience - Middleware integration experience with SAP PI/PO or BTP Integration Suite - S/4HANA infrastructure experience - Cloud infrastructure experience with Azure Government or AWS GovCloud Benefits - Competitive compensation: $110,000 – $160,000 / year (commensurate with experience) - Comprehensive benefits, including medical, dental, and vision coverage - Flexible time off - Professional development opportunities - Company perks such as flex spending, wellness initiatives, etc. - 401(K) matching

• Designs and implements architectural solutions for specific products. • Works with engineering teams to ensure alignment with business objectives and technical standards. • Develop and guide the implementation of product architectures. • Provide expertise on architecture-related issues and decisions. • Work with engineering and product teams to ensure alignment with technical requirements. • Implement and promote innovative architectural practices. • Help establish and maintain architectural standards and best practices. • Ensure thorough documentation of architectural designs. • Work closely with the Quality Assurance teams and participate in QA efforts when needed. • Conduct code reviews, pull requests and ensure adherence to coding standards. • Participate in internal and external product support when needed. • Engage in Agile ceremonies and contribute to iterative development processes. • Prototype and validate proposed architectural solutions to evaluate feasibility, performance, and scalability before full-scale implementation.