Platform Infrastructure Architect
About The Position
The Platform Infrastructure Architect guides engineering execution, enterprise technology platforms, solution architecture, technical standards, and selected initiatives across infrastructure, cloud services, data platforms, automation, AI enablement, and enterprise software delivery. The role combines practical technical depth with sound judgment, clear communication, and complex problem-solving in close collaboration with the team. The architect leads technical design and platform initiatives, provides senior-level guidance for complex incidents and production challenges, and establishes engineering standards. The role also supports enterprise platforms and data solutions, drives automation, enables responsible AI adoption, advises software development teams, and translates business needs into technical roadmaps and delivery plans. The position partners with vendors, security teams, and infrastructure leaders on technology roadmaps, budgets, compliance, resilience, monitoring, backup and recovery, and high availability.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
- 10+ years of hands-on technical experience, including engineering leadership, architecture, operations, or enterprise technology delivery.
- Ability to mentor engineers, provide technical guidance, and remain a hands-on technical contributor.
- Strong expertise in Microsoft technologies, including Microsoft 365, Azure, Windows platforms, identity, collaboration, and enterprise administration.
- Experience with cloud infrastructure, virtualization such as VMware or similar, databases such as SQL Server or MySQL, enterprise storage, backup and recovery, and production operations.
- Knowledge of networking technologies, including firewalls, VPNs, IP routing, IP multicast, and secure connectivity solutions.
- Ability to review architecture designs, code, scripts, deployment plans, user documentation, and troubleshooting strategies.
- Experience leading complex technical projects, managing priorities, communicating risks, and driving cross-functional execution.
- Strong problem-solving, communication, and decision-making skills, including the ability to explain technical concepts to non-technical audiences.
- Familiarity with cybersecurity principles, data protection, access control, secure operations, the NIST Cybersecurity Framework, and responsible AI governance.
- Experience with Azure, AWS, and/or GCP; data platforms and pipelines such as ETL/ELT, Spark, Delta Lake, Kafka, and Azure Event Hubs; and AI/ML technologies including Azure AI Foundry, Azure ML, MLflow, and MLOps/LLMOps.
- Proficiency in Python, C#/.NET, TypeScript, PowerShell, and DevOps and IaC tools such as Azure DevOps, GitHub Actions, Terraform, Bicep, Docker, and Kubernetes.
Nice To Haves
- Exposure to media, broadcast, production, venue, or event technology environments.
Responsibilities
- Lead architecture and technical design for enterprise cloud, infrastructure, data, automation, AI, and software platform initiatives.
- Partner with engineers, architects, and developers to design, build, review, troubleshoot, and continuously improve technical solutions.
- Provide senior-level support and guidance for complex incidents, performance issues, integrations, and production-impacting challenges.
- Establish and promote engineering standards for architecture, documentation, code reviews, automation, deployment, operational readiness, and supportability.
- Evaluate technical solutions and tradeoffs involving scalability, reliability, security, maintainability, cost, and delivery speed.
- Guide deployment, configuration, operation, and optimization of enterprise platforms, including Microsoft 365, Azure, SQL Server, VMware, and related services.
- Collaborate with engineering and data teams on data platforms, pipelines, integrations, reporting, and performance improvements.
- Drive automation through scripting, infrastructure-as-code, CI/CD pipelines, reusable patterns, and operational tooling.
- Contribute directly to implementation and troubleshooting when senior technical expertise is needed to improve quality, speed, or risk management.
- Lead architecture, evaluation, integration, and operational enablement of enterprise AI solutions with business, data, security, and operations teams.
- Promote responsible AI practices, including governance, security, privacy, model evaluation, production monitoring, and scalable adoption of valuable use cases.
- Guide software development teams on architecture, platform integration, DevOps practices, code quality, lifecycle standards, and release readiness.
- Translate business requirements into technical roadmaps, delivery plans, risks, dependencies, and recommendations while managing multiple priorities and partners.
- Partner with vendors, security teams, and infrastructure leaders on technology roadmaps, budgets, compliance, resilience, monitoring, backup and recovery, and high-availability solutions supporting critical business operations.
- Perform other duties as assigned.
Benefits
- Eligible to participate in health and welfare benefits.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
