About Raintree Systems
Founded in 1983 and headquartered in Chandler, AZ, Raintree is a leading AI-powered EMR and practice management platform built specifically for physical, occupational, speech therapy, and ABA organizations. Powering millions of patient visits across thousands of locations, our award-winning, all-in-one software connects clinical, billing, and operational workflows—reducing administrative complexity and empowering therapy providers to scale with confidence and deliver superior patient care.
DATA ARCHITECT
Location: Remote (U.S. / Preferred Time Zones Eastern/Central)
Employment Type: Full-Time
Level: Senior / Staff / Principal (commensurate with experience)
Reports To: Chief Technology Officer (expected to transition under the Chief Architect)
Raintree builds AI-powered EMR and practice management software for physical, occupational, and speech therapy organizations, supporting some of the largest rehab practices in the country.
- Our Why: To help therapy professionals give better care and achieve superior outcomes for everyone.
- Where We Are Going: We are in the middle of a major platform transformation—modernizing a decades-old technology stack while building the AI-native systems that will define the next generation of our product.
POSITION OVERVIEW
We are seeking a Data Architect to serve as a driving force behind our platform modernization. In this role, you will diagnose and resolve core data challenges across both legacy and modern technology stacks. Rather than day-to-day database administration, this position focuses on target-state architecture design, schema strategy, event-driven patterns, data governance, and scalable data lifecycle policies.
This is a high-autonomy role where your technical expertise and evidence-based decision-making will directly influence enterprise software used by millions.
KEY RESPONSIBILITIES (WHAT YOU’LL OWN)
- Root Cause Analysis & Strategy: Diagnose fundamental root causes of complex data issues and execute a clear, defensible long-term plan.
- Target-State Architecture: Design the future-state data architecture across legacy and modern platforms, including realistic migration, sequencing, and rollout strategies.
- Cross-Functional Leadership: Partner closely with Engineering, Product, and Enterprise Architecture leadership to align data architecture with broader product and platform goals.
- Governance & Standards: Establish data architecture standards, review practices, and comprehensive documentation to ensure institutional knowledge is preserved and standardized.
- Enterprise Impact: Serve as a subject matter expert across broader enterprise architecture questions where data intersects with product strategy.
WHAT SUCCESS LOOKS LIKE (FIRST 6–12 MONTHS)
- A Refined Data Roadmap: A credible, actionable plan for resolving core data issues with explicit tradeoff analysis.
- Data Quality & Consistency: A measurable reduction in data inconsistencies emerging from new feature developments.
- Technical Trust & Influence: Strong alignment with engineering and product leadership, backed by clear evidence, thoughtful technical debate, and collaborative problem-solving.
QUALIFICATIONS & EXPERIENCE
Required:
- Architecture-First Experience: Proven experience as a Data Architect (typically 8+ years; higher for Staff/Principal levels) with deep expertise in target-state architectural design rather than operational database administration (DBA).
- Data Modeling & Design: Deep fluency in relational and NoSQL data modeling, schema design, and data governance.
- Streaming & Messaging Patterns: Strong background in event-driven and streaming architectures (e.g., event buses, message queues).
- Legacy & Modern Integration: Proven track record of untangling messy, legacy, or under-schematized environments and migrating them toward modern frameworks.
- Cloud Architecture: Deep experience designing cloud-native data architectures (AWS strongly preferred).
- Data Lifecycle Management:…