Senior Solution Architect

About the role

We are seeking an experienced Senior Solution Architect to join our team building next-generation Digital Twin solutions for Data Center owners and operators. Supporting end-to-end project lifecycle use cases such as concept planning, design, and operations, the Digital Twin platform supports large-scale telemetry ingestion, storage, processing, and visualization to drive higher reliability, smarter capital planning, and more resilient facility performance. You will play a critical role in defining the architectural vision, guiding engineering teams, and ensuring scalable, secure, and high-performance system design. This is a hands-on leadership role requiring both strategic thinking and deep technical expertise across cloud platforms, data systems, and distributed architectures.

Responsibilities

• Architecture & Technical Leadership
  • Define and own the end-to-end solution architecture for a cloud-native Digital Twin SaaS platform
  • Establish design patterns for scalable, fault-tolerant, multi-tenant systems
  • Establish canonical integration patterns across telemetry systems, simulation engines, BIM environments, and operational platforms
  • Lead architectural decisions across data ingestion, streaming, storage, processing, and API layers
  • Ensure alignment between product vision, engineering execution, and platform capabilities
  • Operate effectively in evolving technical environments where requirements, vendor capabilities, and architectural boundaries are still emerging
  • Identify architectural bottlenecks, operational constraints, and integration risks early, and drive pragmatic designs that remain viable under real-world delivery, licensing, compliance, and infrastructure limitations
• Data & Platform Engineering
  • Design systems to handle high-volume telemetry data ingestion (IoT, sensors, operational data streams)
  • Architect solutions for:
    • Real-time and batch data processing pipelines
    • Time-series and analytical data storage
    • High-performance data access and visualization layers
  • Guide implementation of data governance, security, and compliance frameworks
• Digital Twin & Domain Modeling
  • Define architectural approaches for representing physical assets and systems as Digital Twins
  • Collaborate with Product and Engineering teams to model Data Center systems, assets, and operational workflows
  • Support long-term extensibility into planning, simulation, and design-phase capabilities
  • Define integration patterns across simulation, BIM, and 3D visualization ecosystems, including platforms such as NVIDIA Omniverse, Autodesk Forma, and USD-based workflows
• Cross-Functional Collaboration
  • Partner with Product Management, Engineering, and UX/UI to translate business requirements into technical solutions
  • Mentor and guide engineering teams through architecture reviews and critical design decisions
  • Work with customers and stakeholders to understand integration and scalability requirements
  • Collaborate closely with simulation SMEs, platform engineers, and Product leadership to iteratively refine architecture through technical discovery and prototyping
• Technology Strategy & Innovation
  • Evaluate and recommend technologies across cloud (Azure/AWS/GCP), data platforms, and analytics tools
  • Stay current with trends in Digital Twins, IoT platforms, and industrial SaaS solutions
  • Drive innovation in areas such as real-time analytics, simulation, and AI/ML integration
  • Assess trade-offs across platform capabilities, operational constraints, licensing models, compliance requirements, and long-term maintainability when defining architectural direction

Requirements

• 8+ years of experience in software engineering and solution architecture
• Proven experience designing and delivering large-scale, cloud-native SaaS platforms
• Strong expertise in:
  • Distributed systems and event-driven architectures
  • Data platforms (streaming, batch processing, data lakes, time-series DBs)
  • API design and microservices architecture
• Experience with telemetry/IoT data ingestion and processing systems
• Deep knowledge of at least one major cloud platform (Azure preferred)

Preferred Qualifications

• Experience with Digital Twin platforms or modeling physical systems
• Familiarity with Data Center infrastructure, operations, or industrial environments
• Experience designing multi-tenant B2B SaaS platforms
• Exposure to data visualization platforms, analytics tools, or simulation frameworks
• Knowledge of AI/ML applications in operational optimization or predictive maintenance
• Experience integrating with Digital Twin, BIM, simulation, or spatial computing platforms (e.g. NVIDIA Omniverse, Autodesk Forma, Unity, Unreal Engine, USD ecosystems)

Benefits

• Medical, dental, vision, and basic life insurance
• 401(k) plan
• Paid time off
• Ability to purchase company stock at a discount
• Eligible employees may enroll in a deferred compensation plan or the Executive Deferral Plan
• Certain roles may be eligible for additional rewards, including merit increases, performance discretionary bonus, and stock

Pay

The base salary range for this position is $165,000.00 to $190,000.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Schedule

We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations.