Data Architecture

Key Responsibilities

• Data Modelling Architecture 60
• Design and implement logical and physical data models using principles such as 3NF Data Vault 1020 and StarSnowflake Schema SF
• Experience in Geospatial Data Modelling including working with WKT and WKB formats
• Rearchitect existing datasets for scalability performance and maintainability
• Develop and implement parentchild entity relationships across complex data structures
• Collaborate with crossfunctional teams to ensure modeling standards and governance are met Solution Architecture
• Apply data architecture design principles and patterns including Lambda and Kappa architectures for both streaming and batch data processing
• Define and document architecture blueprints reference models and integration patterns
• Ensure solutions align with business goals scalability requirements and technology roadmaps
• GenAI Advanced AI Integration
• Lead initiatives around Generative AI and Agentic AI solutions
• Design and develop RAG RetrievalAugmented Generation pipelines and implement AI agents including sequential parallel and loopbased agent architectures
• Build finetune and deploy AIbacked solutions within Databricks and other enterprise platformsTechnical Environment
• Work handson with Databricks Experience with Databricks certifications preferred
• Develop data pipelines reusable components and orchestration flows to drive automation
• Integrate data workflows with AI agents APIs and BI tools