Job Title: Data Platform Architect – Data Analytics & AI We are seeking a highly skilled Data Platform Architect with deep expertise in data analytics and AI to help evolve our enterprise data platform. This role will contribute to the development of a scalable, integrated, and future-ready reference architecture that unifies reporting, analytics, and AI/ML capabilities across the organization. Key Responsibilities: • Contribute to the design and evolution of a data platform architecture that supports analytics and AI/Generative AI use cases, covering data ingestion, processing, analytics, visualization, and consumption. • Collaborate with cross-functional teams to design a unified, modular reference architecture leveraging platforms such as Cognite, Databricks, Microsoft Azure, and SAP DataSphere for seamless data integration. • Apply modern data architecture principles—including data lake/lakehouse and data mesh—to consolidate disparate data sources into unified, actionable views. • Design architecture components that support exploratory data analysis (EDA) and accelerate the development of advanced data products and AI/ML use cases. • Ensure architectural compliance with enterprise data governance and data security standards. Qualifications: • Minimum 10 years of hands-on experience designing and implementing data platform architectures with a focus on AI, analytics, and Generative AI. • Proven experience applying Modern Data Architecture in large enterprise environments. • Practical, real-world experience in at least two of the following: • Medallion architecture in lakehouse environments • Data mesh implementations • ML model tuning and MLOps • Strong hands-on expertise with large-scale data platforms such as Cognite, Databricks, Microsoft Azure Data & Analytics Services, and SAP DataSphere. • Demonstrated ability to integrate diverse data sources and design data mashup patterns for complex datasets to enable actionable insights. • Deep understanding of AI/ML model development and deployment, with experience building AI-driven data products and applications. • Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. • Experience with OT data in downstream or process manufacturing environments is a significant plus.