I
Senior Data Architect
AI Summary
Irth is seeking a Senior Data Architect to lead the design, governance, and strategic direction of its modern, multi-cloud data estate. The role involves defining the architecture blueprint, ensuring robust governance and security, and enabling scalable analytics, AI/ML, and cross-product insights. The ideal candidate will have deep expertise with Databricks, experience building multi-cloud data architectures, and strong understanding of security, compliance, and data residency considerations.
Key Highlights
Design high-level and detailed architecture blueprint for Irth's Databricks-based data estate
Develop multi-cloud ingestion and consolidation strategy for data sourced from various systems
Establish enterprise-level data governance model and partner with security and compliance teams
Key Responsibilities
Design the high-level and detailed architecture blueprint for Irth's new Databricks-based data estate
Develop a multi-cloud ingestion and consolidation strategy for data sourced from AWS, Azure, GCP, and on-prem systems
Establish an enterprise-level data governance model, including classification schemas, residency rules, cataloging, 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
Technical Skills Required
Benefits & Perks
Competitive salary
Health plans options including medical, dental, & vision
401k (US), RSP (Canada) + company match
Flexible PTO policy plus company-paid holidays
Benefits options such as health insurance, life insurance, discounts and perks programs
Generous 'work from home' stipend to get you started
Team events including monthly lunches for everyone, volunteer outings, and quarterly gatherings
Nice to Have
Experience with Unity Catalog-Purview integration and enterprise metadata strategies
Background in geospatial data, operational risk modeling, or AI/ML enablement
Knowledge of Power BI semantic modeling or BI-platform-agnostic semantic layer design
Experience with highly regulated or multi-tenant data environments
Job Description
About The Role
Irth is building a modern, multi‑cloud, enterprise‑grade data estate—a unified Databricks‑based platform that consolidates data across all Irth products, spanning AWS, Azure, and GCP environments. We are seeking a Senior Data Architect to lead the design, governance, and strategic direction of this data estate and to work closely with data engineering teams to bring it to life.
This is a high‑impact, highly visible technical leadership role responsible for defining the medallion architecture, ensuring robust governance and security, and enabling scalable analytics, AI/ML, and cross‑product insights.
Key Responsibilities
- Strategic Architecture & Design (Primary Responsibility)
- 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
- Implementation Leadership & Engineering Partnership
- 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
- Data Governance, Security & Compliance
- 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
- Analytics, AI/ML, and Product Enablement
- 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
- Thought Leadership & Collaboration
- 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
Required
- 8+ years of experience in data architecture, data engineering, or platform architecture, with at least 3 years in a senior or lead role
- Deep expertise with Databricks (Azure preferred), including Delta Lake, Unity Catalog, SQL Warehouses, Lakehouse design, and pipeline orchestration
- Strong experience building multi‑cloud or hybrid data architectures (AWS, Azure, GCP)
- Expert in medallion architecture, lakehouse design patterns, metadata management, lineage, and enterprise governance
- Advanced SQL and experience with one or more: Python, Scala, PySpark, Spark SQL
- Strong understanding of security, compliance, RBAC/ABAC, encryption, and data residency considerations
- Experience with CDC, SCD Type 1/2, streaming ingestion, batch pipelines, and workload performance optimization
- Demonstrated ability to translate highly complex technical concepts to non‑technical audiences
- Strong documentation, diagramming, architectural review, and communication skills
- Experience with Unity Catalog-Purview integration and enterprise metadata strategies
- Background in geospatial data, operational risk modeling, or AI/ML enablement
- Knowledge of Power BI semantic modeling or BI‑platform‑agnostic semantic layer design
- Experience with highly regulated or multi‑tenant data environments
- Certifications: Databricks Data Engineer Professional, Databricks Architect, Azure Data Architect, AWS/GCP data certifications
- Unified Databricks Lakehouse deployed with all product/tenant data ingested
- High‑quality lineage coverage and governance adoption
- Compliance with all residency and regulatory policies
- Reduction in engineering overhead and faster delivery of analytics/AI use cases
- Positive adoption and satisfaction across engineering, product, and analytics teams
- Join a dynamic, growing company that is well respected in its industry.
- Competitive salary
- Health plans options including medical, dental, & vision
- 401k (US), RSP (Canada) + company match
- Flexible PTO policy plus company-paid holidays
- Benefits options such as health insurance, life insurance, discounts and perks programs
- Generous "work from home" stipend to get you started
- Team events including monthly lunches for everyone, volunteer outings, and quarterly gatherings
- Hybrid employees have access to snacks, beverages and coffee at our Columbus office
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