Senior/Principal Platform Architect (Software, Data and AI)

TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare operations through innovative technology. We build solutions that empower healthcare providers to improve patient outcomes, optimize staffing, and operate more efficiently.

About the role

This is a high-impact senior individual contributor role for someone who thrives at the intersection of software engineering, data architecture, cloud infrastructure, DevOps, analytics, and AI enablement. This person will serve as a technical force multiplier across Product Engineering, Data Science, Analytics, and Operations while helping establish scalable architecture patterns and platform standards.

The role is fully remote (U.S. residents only).

Responsibilities

• Design and evolve TeamBuilder's platform architecture across application, data, analytics, and AI layers.
• Establish architectural standards and engineering best practices for scalable, secure, and maintainable systems.
• Drive platform modernization initiatives leveraging Microsoft Azure cloud technologies.
• Provide sound recommendations on architectural choices based on technical goals, business needs, and long-term scalability.
• Lead development of scalable SaaS products and services using C#, .NET, ASP.NET Core, SQL, Redis, and related Microsoft technologies.
• Design distributed systems, microservices, APIs, and event-driven architectures.
• Develop well-written, documented code in existing and new systems and platforms.
• Partner with Product and Engineering teams to deliver high-impact features and improve system design.
• Architect and evolve enterprise-scale data warehouse, data lake, and lakehouse environments.
• Design, build, and optimize ETL/ELT pipelines and data integration frameworks.
• Establish data modeling standards, data quality controls, governance practices, and reconciliation processes.
• Support operational reporting, business intelligence, advanced analytics, forecasting, optimization, and AI initiatives.
• Own Azure infrastructure strategy across development, staging, and production environments.
• Design, build, and maintain CI/CD pipelines, deployment automation, and release engineering practices.
• Implement Infrastructure as Code using Terraform, Bicep, ARM templates, or similar tools.
• Improve reliability, observability, security, disaster recovery, performance, and cost efficiency across the platform.
• Support containerized workloads using Docker and Kubernetes/AKS where appropriate.
• Collaborate closely with Data Science to operationalize analytics, AI, and machine learning solutions.
• Design data and infrastructure patterns that support model experimentation, deployment, monitoring, and scale.
• Connect data, applications, infrastructure, and AI use cases into a cohesive platform strategy.
• Research and learn new technologies as needed to deliver technical solutions and enable future product capabilities.

Requirements

• 10+ years of software engineering, platform engineering, data engineering, data architecture, DevOps, or related technical experience.
• Expert-level experience with C#, .NET, ASP.NET Core, SQL, and enterprise SaaS platforms.
• Strong understanding of software engineering design and architectural patterns, including microservices and distributed systems.
• Deep hands-on experience with Microsoft Azure cloud infrastructure and Azure-native services.
• Experience designing and implementing enterprise data platforms, including data warehouses, data lakes, lakehouse architectures, and analytical environments.
• Advanced SQL skills with experience optimizing complex queries, pipelines, and large-scale datasets.
• Strong experience with CI/CD, automation, Git, and modern software delivery practices.
• Experience with Infrastructure as Code, cloud automation, monitoring, observability, and production reliability practices.
• Ability to work cross-functionally with product owners, data scientists, business users, project managers, engineers, and technical/non-technical stakeholders.
• Strong written and verbal communication skills with the ability to translate complex technical concepts into clear recommendations.

Nice to Have

• Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, Azure Data Lake Storage, Azure SQL Database.
• Terraform, Bicep, ARM templates, Azure DevOps, GitHub Actions, Docker, Kubernetes, or AKS.
• Power BI data modeling, semantic modeling, performance tuning, and analytics enablement.
• MLOps, AI platform, machine learning, LLM, GenAI, or AI-assisted operational automation experience.
• Domain-Driven Design (DDD), event-driven architecture, distributed event bus, SignalR, Entity Framework, Redis, React, or Next.js.
• Experience in healthcare, workforce management, scheduling, regulated environments, SOC 2, HIPAA-minded practices, or high-growth SaaS organizations.
• Experience scaling systems from early-stage environments to enterprise healthcare deployments.

What Success Looks Like

• Reliable, scalable, and well-governed application and data platforms that support TeamBuilder's growth.
• Improved developer velocity through clear platform standards, automation, documentation, and reusable architecture patterns.
• Trusted data pipelines and analytical environments that support reporting, analytics, Data Science, and AI initiatives.
• Secure, observable, cost-efficient Azure infrastructure that supports enterprise SaaS reliability and performance.
• Strong cross-functional alignment between Product Engineering, Data Science, Analytics, Operations, and business stakeholders.

Benefits

• Paid time off
• Medical benefits
• 401k matching
• Potential for an annual performance bonus and/or equity

Culture

We foster a collaborative, engaging, mission-driven culture that values innovation and prioritizes customer success. This role is ideal for someone who enjoys improving systems, solving complex technical problems, and helping a fast-moving company scale with clarity and discipline.