Data Architect

About Rentvine

Rentvine is the fastest-growing property management software company in the industry, ranked #60 on the 2025 Inc. 5000 list. Our powerful, cloud-based platform helps property managers streamline operations, reduce manual work, and deliver a better experience for tenants and owners. Behind that innovation is a team-first culture that puts people at the center. We care deeply about building a company where smart, driven individuals can grow, feel supported, and do the best work of their careers.

Our people aren't just part of our success—they're the reason for it.

We are seeking an experienced Data Architect to own the design, operation, and ongoing evolution of our analytics and data platform. This role is responsible for our Snowflake-based data warehouse, manages data ingestion through Hevo, and enables business intelligence and reporting via Power BI. While the platform currently supports primarily financial reporting, this role will lead its expansion to unify data across core operational systems, customer platforms, and financial sources.

The goal is to establish a trusted, company-wide analytics foundation that supports scalable business intelligence today and advanced data science capabilities over time. This position is expected to grow into a leadership role, ultimately overseeing the company’s data science and analytics function.

• Design and maintain scalable dimensional and semantic data models (e.g., star schemas)
• Define and manage canonical datasets for financial, customer, and operational analytics
• Implement data quality checks, anomaly detection, and monitoring
• Own data definitions, metric logic, and analytical standards

• Establish data ownership, stewardship, and accountability across domains
• Define SLAs for data freshness, completeness, and accuracy
• Support audit, compliance, and financial controls where applicable
• Maintain lineage, metadata, and documentation to support self-service analytics

• Act as a trusted advisor to Finance, Product, GTM, and Operations leaders
• Prioritize data initiatives based on business impact and ROI
• Enable self-service analytics while maintaining guardrails

• Strong analytical mindset with a bias toward scalable solutions
• Ability to balance short-term reporting needs with long-term architecture
• Excellent communication skills, especially with non-technical stakeholders
• High ownership and accountability for data accuracy and reliability
• Comfort operating as both a hands-on architect and strategic leader

• dbt or similar analytics engineering frameworks
• Experience with SaaS business models and subscription analytics
• Financial systems and revenue recognition data
• Data observability tools (e.g., Monte Carlo, Bigeye, custom monitoring)
• Python for data tooling or analysis
• Experience building semantic layers or metrics frameworks

• A well-architected, cost-efficient Snowflake environment with clear modeling standards
• Reliable, automated ingestion from core operational, CRM, and financial systems
• Expansion of BI beyond finance into sales, marketing, and operations
• Consistent, trusted metrics adopted across teams
• A clear roadmap for advanced analytics and future data science initiatives
• Initial hiring and mentorship of analytics and/or data science team members
• Opportunity to define the company’s long-term data and analytics strategy
• Clear path to Head of Data / Director of Data Science & Analytics
• High visibility role with direct impact on company decision-making
• Ability to shape team structure, tooling, and standards from the ground up