Data and Integration Architect
Listed on 2025-12-23
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IT/Tech
Data Engineer, Systems Engineer, Data Security, Data Science Manager
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The exciting world of scientific research is fueled by people with a passion for solving complex problems. At Cayuse, we are committed to our customers' success by empowering organizations to conduct globally connected research that advances their impact on science, discovery, and society. We build on that commitment with proven, integrated and easy-to-use technology that delivers exceptional value, and world class service and support that accelerates outcomes.
But we are more than just an empowering platform powered by advanced technologies. We are a collaboration of exceptional, highly skilled people with multi-disciplinary expertise, and are building our team to support our ambitious growth plans. Cayuse's foundational strength comes from our customer and employee focused values and commitment to industry-leading solutions. It's an exciting time to become a key member of our growing team.
Key Responsibilities Strategic Data & Integration Leadership- Define and drive a comprehensive data and integration strategy aligned with SaaS multi-tenancy, security, and scalability requirements.
- Collaborate with product management, engineering leadership, fellow architects, and business stakeholders to design interoperable and future-proof data and integration solutions.
- Establish and evolve the suite's conceptual, logical, and physical data models, ensuring consistency, flexibility, and efficiency across products.
- Develop a unified data model for the suite, defining common entities and relationships across multiple product domains.
- Define extensible data architectures, supporting multi-tenant and customer-specific configurations (e.g., custom form definitions) without compromising performance.
- Lead the development of governance frameworks, ensuring data quality, security, and compliance (including regulatory considerations such as HITRUST, HIPAA, GDPR, and FedRAMP where applicable).
- Guide decisions on database and data management solutions tailored to specific use cases, considering performance, scalability, and cost-effectiveness.
- Design dynamic data extension mechanisms to support customer-specific tenant requirements (e.g., custom form definitions).
- Design and standardize suite-wide API and data exchange patterns, ensuring seamless integration between products and external ecosystems.
- Define and advocate for event-driven architectures, ensuring scalable and decoupled integrations across Cayuse's platforms.
- Partner with engineering teams to implement high-performance, scalable APIs for both internal and external use cases, ensuring data consistency and efficiency.
- Support decisions on data ingress, egress, synchronization, and replication across the suite.
- Partner with stakeholders to ensure alignment between governance and operational data practices.
- Balance strategic vision with tactical execution, actively engaging in architecture and design reviews, providing technical leadership and best practices to engineering teams.
- Deliver reusable data and integration patterns, accelerating product development and improving system maintainability.
- Educate and mentor engineers, product teams, and stakeholders on modern data architectures, API design, and integration principles.
- Work closely with the Data Products Engineering and Data Operations teams to translate the data strategy and roadmap into actionable deliverables, providing technical guidance throughout the development lifecycle.
- Drive hands-on efforts in conceptual, logical, and physical modeling for complex or strategic use cases.
- Partner with SREs and Dev Ops teams to optimize data infrastructure and integration reliability, scalability, and security.
- Provide expert guidance on ensuring data quality and integrity across the entire data lifecycle, including customer onboarding, synchronization, and transformation.
- Define monitoring, observability, and data lineage strategies, ensuring transparency and operational efficiency.
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