Data and Integration Architect Jobs

Cayuse

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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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Data and Integration Architect