• Design the high‑level and detailed architecture blueprint for Irth’s new Databricks‑based data estate, including lakehouse patterns, medallion architecture (Bronze/Silver/Gold), and semantic layers. • Develop a multi‑cloud ingestion and consolidation strategy for data sourced from AWS (S3, RDS, DynamoDB), Azure (SQL MI, Storage Accounts), GCP, and on‑prem systems. • Define patterns for data lineage, metadata management, data quality, CDC/SCD, streaming and batch ingestion, and federated query capabilities. • Establish an enterprise‑level data governance model, including classification schemas, residency rules, cataloging (Unity Catalog), retention policies, and security standards. • Partner with security and compliance teams to enforce GDPR, PIPEDA, Australian Privacy Act, SOC 2, and other regulatory requirements. • Architect for scalability, reliability, cost‑efficiency, and support of downstream analytics, reporting, GIS workflows, and AI/ML workloads. • Produce architectural documentation, diagrams, runbooks, and design standards / best practices. • Collaborate closely with a distributed team of data engineers to implement ingestion pipelines, Delta Lake storage patterns, orchestration workflows, and Databricks Lakeflow components. • Provide technical leadership, code reviews, architectural guidance, and hands‑on support when needed. • Ensure architecture is implemented consistently across tenants, clouds, products, and engineering teams. • Work with DevOps/Platform teams on infrastructure, identity, networking, VPC/VNet, and CI/CD integration. • Establish monitoring, observability, and operational governance for the data estate. • Define and enforce RBAC/ABAC policies, encryption standards, audit logging, and tenant‑level isolation. • Partner with governance teams to unify metadata and lineage across all sources via Unity Catalog and Purview integration. • Ensure ongoing compliance with data residency and cloud‑specific regulatory constraints. • Develop standards for retention, archival, disaster recovery, and cross‑region protections. • Architect support for operational reporting, BI (Power BI, Databricks SQL), semantic modeling, and consumption patterns. • Design foundations enabling AI/ML use cases such as predictive risk modeling, summarization, geospatial analytics, and LLM‑driven insights. • Advance a BI‑tool‑agnostic semantic model strategy for consistent business definitions across products. • Serve as Irth’s senior expert on Databricks Lakehouse architecture, modern data engineering, and multi‑cloud data strategy. • Mentor engineers and analysts in best practices for data modeling, governance, pipeline design, and scalable architectures. • Partner with product teams, executives, and stakeholders to translate business requirements into technical data solutions. • Participate in vendor evaluations, roadmap planning, and architectural governance boards.