Senior Data Architect / Modeller

Job summary

Design and maintain enterprise data architectures and conceptual, logical, and physical data models, while defining scalable patterns for data integration, storage, transformation, and sharing. Establish reusable data products and architecture standards, embed governance and security requirements, and collaborate across teams to support AI/ML, Generative AI, RAG, and analytics solutions.

Job details

We are looking for an experienced Senior Data Architect / Modeller to help shape enterprise data architecture and build scalable, AI-ready data solutions. The ideal candidate will bring strong expertise in enterprise data modelling, modern cloud data platforms, and data architecture supporting AI/ML, Generative AI, and advanced analytics. Key Responsibilities: Design and maintain enterprise data architectures and conceptual, logical, and physical data models. Define scalable data integration, storage, transformation, and sharing patterns. Develop reusable data products and common data models to support enterprise and AI use cases. Establish data architecture, modelling, interoperability, and integration standards. Partner with Data Governance teams to embed data quality, ownership, metadata, lineage, security, and privacy requirements. Support architecture initiatives involving AI/ML, Generative AI, RAG, and advanced analytics. Collaborate with business, Data & AI, architecture, and engineering teams to deliver scalable data solutions. Must-Have Qualifications: Significant experience in enterprise data architecture and conceptual, logical, and physical data modelling. Hands-on architectural experience supporting AI/ML, Generative AI, analytics, and cloud workloads. Understanding of data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines. Strong expertise in modern cloud data platforms, data engineering, APIs, integration, metadata, lineage, and data quality. Strong knowledge of the Azure data and AI ecosystem, including Azure Machine Learning and Microsoft Foundry / Azure AI Foundry. Solid understanding of data governance, data ownership, security, privacy, and information lifecycle management. Tracker# - 37789 Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.

What you’ll do

Design and maintain enterprise data architectures and conceptual, logical, and physical data models, while defining scalable patterns for data integration, storage, transformation, and sharing. Establish reusable data products and architecture standards, embed governance and security requirements, and collaborate across teams to support AI/ML, Generative AI, RAG, and analytics solutions.

Requirements

Requires significant experience in enterprise data architecture and data modelling, with hands-on experience supporting AI/ML, Generative AI, analytics, and cloud workloads. Candidates should have strong expertise in cloud data platforms, data engineering, integration, APIs, metadata, lineage, data quality, Azure data and AI services, and data governance, security, and privacy.

Listed skills

• Integration · Preferred
• Data analysis · Preferred
• Teams · Preferred
• Microsoft Azure · Preferred
• Machine learning · Preferred
• Microsoft · Preferred
• Training · Preferred
• Attention to detail · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Enterprise Data Architecture
• Data Modelling
• Cloud Data Platforms
• AI/ML Architecture
• Generative AI
• Data Integration
• Data Engineering
• Data Governance
• Data Quality
• Metadata Management
• Data Lineage
• APIs
• Azure Machine Learning
• Azure AI Foundry
• RAG
• Advanced Analytics

Job areas

• Data & Analytics
• Technology
• Software
• Engineering

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