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.
Key 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.
