Senior Lead Data Architect, Information Architecture

What you'll do

• Lead the end-to-end data modeling strategy for transactional, analytical, streaming, and AI-driven consumption patterns.
• Design and optimize models across raw document structures, OLTP relational, OLAP dimensional, and event/message schemas.
• Establish semantic foundations including data dictionaries, naming conventions, and attribute abstractions to ensure interoperability.
• Govern schema evolution and model versioning to protect downstream consumers through clear contracts and lineage.
• Provide technical direction and mentorship to engineering teams as a subject matter expert in data modeling.
• Develop and review secure DDL and transformation logic while ensuring production readiness and performance.
• Integrate enterprise-authorized AI capabilities to accelerate modeling analysis, documentation, and automated validation workflows.

What we're looking for

• Formal training or certification on data architecture and data modelling concepts with 5+ years of applied experience.
• Extensive hands-on experience designing optimized models across raw/document, OLTP 3NF, OLAP dimensional, and event/message schema patterns.
• Strong command of core data concepts including entities, relationships, cardinality, normalization vs. denormalization, and schema evolution.
• Practical experience in system design, application development, testing, and maintaining operational stability in production environments.
• Solid understanding of modern lakehouse platforms, specifically Databricks (Delta Lake, Unity Catalog, medallion architecture) or equivalent.
• Demonstrated experience using enterprise-authorized AI capabilities for data modelling with a focus on validation and security.
• Advanced knowledge in one or more programming languages and technical disciplines like cloud, AI/ML, and data platforms.
• Ability to independently solve complex data model design and functionality problems with little to no oversight.
• Deep specialization in explaining and teaching model-shape decisions based on consumption patterns (preferred).
• Experience defining a shared business glossary and semantic layer for AI-driven consumption (preferred).
• Current experience optimizing analytical models on Databricks or comparable cloud platforms for performance and cost (preferred).
• Familiarity with vector and graph modelling and retrieval patterns for AI/ML (preferred).
• Fluency in integrating agentic AI workflows into modelling, documentation, and data quality processes (preferred).
• Experience establishing modelling standards, naming conventions, and governance practices while mentoring others (preferred).
• Exposure to schema/contract-driven development and managing schema evolution safely in production (preferred).