Data Architect
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Job Description
Data Architect responsible for designing data models and managing Snowflake-based analytics platform at rapidly growing property management software company. Leading strategic analytics initiatives in a team-first environment.
Responsibilities:
- 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.
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