Platform Architect ( Cloud & Data )

Job description The Platform Architect (Cloud & Data) will be responsible for defining and driving the architecture of scalable, secure, and high-performance cloud and data platforms supporting enterprise and industrial SaaS solutions. This role focuses on long-term platform design, data architecture, integration patterns, and technology standards to enable reliable analytics, AI, and business applications. Roles and Responsibilities Define and own the overall cloud and data platform architecture aligned with product roadmap and business goals Design scalable, secure, and high-availability cloud architectures to support multi-tenant SaaS platforms Architect data platforms supporting large-scale ingestion, storage, processing, and analytics of operational and time-series data Define reference architectures, design standards, and best practices for cloud, data, and integration layers Collaborate closely with product, engineering, analytics, DevOps, and security teams to guide solution design Review and approve technical designs, ensuring alignment with architectural standards and non-functional requirements Design integration patterns for enterprise systems, APIs, data pipelines, and third-party platforms Ensure platform architectures meet performance, scalability, security, and compliance requirements Guide technology selection decisions, including cloud services, data stores, and analytics frameworks Support implementation teams with architectural guidance during complex customer deployments Identify and address technical risks, scalability bottlenecks, and architectural gaps proactively Drive platform evolution through continuous improvement, modernization, and adoption of emerging technologies Document architecture designs, decisions, and standards for internal alignment and governance Technical Skills & Requirements Strong experience in designing cloud-native architectures on AWS, Azure, or GCP Deep understanding of data architectures, including data lakes, warehouses, and real-time data processing systems Experience working with large-scale data ingestion, ETL/ELT pipelines, and analytics platforms Knowledge of time-series data architectures and high-volume data processing patterns Experience with microservices, APIs, and event-driven architectures Understanding of containerization, orchestration, and cloud infrastructure design principles Strong knowledge of security, identity, access control, and compliance considerations in cloud environments Experience reviewing and guiding technical designs across engineering teams Skills & Competencies Strong architectural thinking with ability to balance short-term delivery and long-term scalability Excellent communication skills to explain complex technical concepts to diverse stakeholders Ability to influence and guide teams without direct authority Structured and detail-oriented approach to design, documentation, and governance Strong problem-solving mindset and risk-oriented thinking Preferred / Good to Have Experience with industrial, energy, IoT, or analytics-driven platforms Exposure to AI/ML platform architecture and analytics workloads Familiarity with compliance frameworks and secure-by-design principles Experience supporting enterprise-scale implementations and integrations