Senior/Principal Platform Architect – Software, Data, AI

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

TeamBuilder

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $895k Seed Round - Teambuilder on 2023-08

Healthcare • Consulting • Logistics

<TeamBuilder> TeamBuilder is an intelligent, predictive scheduling platform purpose-built for ambulatory care that provides real-time operational intelligence to optimize staff and space utilization. The platform replaces spreadsheets and static tools with predictive analytics, schedule recommendations, and operational insights to reduce labor waste, improve coverage, and give enterprise visibility across clinics. TeamBuilder is offered as a B2B SaaS product targeted at health systems and ambulatory operations teams.

📋 Description

• 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 • 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 • 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 • Establish data modeling standards, data quality controls, governance practices, and reconciliation processes • Own Azure infrastructure strategy across development, staging, and production environments • Design, build, and maintain CI/CD pipelines, deployment automation, and release engineering practices • Collaborate closely with Data Science to operationalize analytics, AI, and machine learning solutions

🎯 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

🏖️ Benefits

• Competitive, including paid time off • Medical benefits • 401k matching • Potential for an annual performance bonus and/or equity