Enterprise Data and AI Architect
Define enterprise data and AI architecture, lead production AI and automation initiatives, and guide cross-functional teams in building secure, scalable data platforms and integrations.
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.
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.
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.
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.
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.
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: Experience defining data retention, lifecycle, backup, and disaster recovery (DR) strategies.
Pragmatic Communication: Ability to articulate technical decisions clearly, defend proposals with evidence, adapt to new data, and operate effectively in ambiguous environments. Ability to communicate potentially complex proposals in a simple and succinct manner.
Domain experience in Healthcare, EMR/EHR, Health-Tech, or HIPAA-regulated environments.
Prior experience building or standing up a dedicated data/platform architecture function from scratch.
At Raintree, we’re not just shaping the future of therapy technology – we’re creating it. This is your chance to be part of something bigger, where your career will have game-changing, career-defining moments that propel you to new heights. We aim to be the best place for the best people, and we’re looking for ambitious, creative thinkers ready to make an impact. Whether you’re advancing AI solutions or enhancing user experiences, your work here will shape the future of therapy technology while advancing your career alongside dedicated professionals who are as committed to your success as you are. At Raintree, your ideas drive real change, your growth is limitless, and the work you do will touch millions of lives. Ready to ignite your career and leave a lasting legacy? Join us and be part of something extraordinary.
Our Core Values
We put our Clients First - We are Open and Honest - We are Disciplined, Yet Flexible
We love to Solve Problems - We are Committed to Greatness - We are a High Performance Team
U.S. Based Perks
Remote First
Paid Time Off/11 Paid Holidays/Year-End Holiday Break
Health, Dental, Vision, HSA/FSA,
401K with Company Match
Disability & Life Insurance
Employee Assistance Program
Paid Parental Leave
Raintree Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Define enterprise data and AI architecture, lead production AI and automation initiatives, and guide cross-functional teams in building secure, scalable data platforms and integrations.
Own the end-to-end data architecture for a contact-centre reporting platform, designing Databricks lakehouse pipelines, Kimball dimensional models, ingestion controls, and migration from legacy pipelines.
Lead the design and governance of enterprise-grade, cloud-native Java applications, ensuring resilience, scalability, and the adoption of modern development practices.
Set technical direction for enterprise cloud solutions, translating business needs into secure, scalable, resilient, and cost-effective architectures across cloud and hybrid environments.
Leads federal facility programming and space planning for secure, mission-critical environments, translating operational, workplace, technology, and security needs into requirements documents and conceptual planning solutions.