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Data and Integration Architect

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Cayuse

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data & Integration Architect at Cayuse is a key technical leader responsible for designing and evolving our multi-tenant SaaS platform's suite-wide data architecture and integration strategy. This role transcends traditional data pipeline and ETL-focused responsibilities, emphasizing a holistic approach to data modeling, API-driven integrations, governance, and scalable architecture patterns. The Data & Integration Architect collaborates with engineering, product, peers in the architecture team, and other stakeholders to create innovative data and integration solutions that deliver a seamless experience for customers while ensuring adherence to best practices in governance, compliance, quality, and performance.

Job Responsibility:

  • 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 without compromising performance
  • Lead the development of governance frameworks, ensuring data quality, security, and compliance
  • Guide decisions on database and data management solutions tailored to specific use cases
  • Design dynamic data extension mechanisms to support customer-specific tenant requirements
  • Design and standardize suite-wide API and data exchange patterns
  • Define and advocate for event-driven architectures
  • Partner with engineering teams to implement high-performance, scalable APIs
  • 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
  • Deliver reusable data and integration patterns
  • Educate and mentor engineers, product teams, and stakeholders
  • Drive hands-on efforts in conceptual, logical, and physical modeling for complex or strategic use cases
  • Partner with SREs and DevOps 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
  • Define monitoring, observability, and data lineage strategies

Requirements:

  • Demonstrated success as a Data Architect, Integration Architect, or in a similar role, within a multi-tenant SaaS environment
  • Expertise in data modeling at all levels (conceptual, logical, and physical), including experience with dynamic and extensible models
  • Proficiency in database and data management technologies, including relational (e.g., Postgres) and cloud-native solutions (e.g., Snowflake, AWS RDS)
  • Deep understanding of API design principles, including REST, bulk file-based, asynchronous, and event-driven architectures (e.g., Kafka, AWS EventBridge)
  • Deep understanding of data warehouses, including design, optimization, and best practices for analytics
  • Experience designing and implementing scalable, tenant-aware data architectures
  • Strong grasp of modern integration patterns, including API gateways, data streaming, and hybrid batch-stream processing
  • Knowledge of modern data governance practices including data security, lineage, observability, and compliance requirements
  • Excellent collaboration, communication, and influence skills, with experience working across product, architecture, engineering, and operational teams

Nice to have:

  • Familiarity with AWS data services (e.g., Glue, S3, Athena) and tools like Matillion for data pipeline development
  • Familiarity with advanced analytics tools and platforms such as Tableau, Microsoft Power BI, Amazon QuickSight, SiSense, and Sigma
  • Hands-on experience with modern data pipeline orchestration tools (e.g., Apache Airflow, AWS Step Functions, Matillion)
  • Experience designing data strategies for hybrid SaaS products transitioning from legacy solutions
  • Knowledge of domain-driven design and its application to data architecture
  • Experience designing and implementing data quality capabilities with orchestration tools (e.g., Apache Airflow, AWS Step Functions) and data observability platforms (e.g., Monte Carlo, Datafold)
What we offer:
  • Competitive Medical Benefits (PPO + HSA available)
  • Vision, Dental, Short-Term Disability fully covered by Cayuse
  • Unlimited PTO + Holidays + Flexible Work Schedule
  • Remote Work Stipend
  • Equal Paid Parental Leave
  • 401k with Employer Matching
  • Quarterly Wellness Reimbursement
  • Remote Work Environment, supporting the Ultimate Employee Experience

Additional Information:

Job Posted:
December 07, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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