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Raintree
Data Science & Analytics 2d ago

Data Architect

Raintree
United StatesUnited States
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

Master these to land this role

Data ArchitectAWSEvent-Driven ArchitecturesCloud ArchitectureData Governance

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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: 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.

Preferred (Nice to Have):

  • 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.

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Raintree (operating at raintreeinc.com) is an AI-centric electronic health record (EHR) and practice management platform engineered for rehabilitation and physical therapy providers. Founded in 1983 and headquartered in Chandler, Arizona, Raintree specializes in delivering comprehensive software solutions that streamline workflows for enterprise and large therapy organizations—managing over 50,000 users across the industry. Unlike legacy systems that fragment patient data or require manual documentation, Raintree integrates scheduling, billing, clinical documentation, and telehealth services into a unified platform. Under the hood, its AI-driven tools automate repetitive tasks, enhance pediatric therapy workflows, and foster multidisciplinary care coordination, while its intuitive interface ensures seamless adoption. This empowers physical therapy practices to focus on patient outcomes rather than administrative burdens, improving efficiency and engagement for both providers and families. With a privately held structure and no disclosed funding rounds, Raintree has built a reputation as a trusted partner for scalable, innovation-driven healthcare solutions.

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