Rentvine

Data Architect

Rentvine

full-time

Posted on:

Location Type: Remote

Location: Florida • United States

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Tech Stack

Python

About the role

  • 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
  • Translate business questions into scalable data solutions
  • 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.

Requirements

  • 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
  • Nice-to-Have / Bonus: Experience 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.
Benefits
  • Team-first culture
  • Opportunity for career growth.
  • High visibility role with direct impact on company decision-making.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data modelingdata quality checksanomaly detectiondata definitionsmetric logicdata freshnessdata completenessdata accuracyPythonanalytics engineering
Soft Skills
analytical mindsetcommunication skillsownershipaccountabilitystrategic leadershipbalancing short-term and long-term needstrusted advisorprioritizationcollaborationproblem-solving