Company Summary
Irth Solutions is a software product company building cutting-edge technology platforms that continuously set industry benchmarks. With a strong product culture, collaborative environment, and high growth potential, Irth offers an exciting opportunity to work on modern, enterprise-scale data platforms. We are currently hiring a Senior Data Architect to lead our enterprise data architecture initiatives.
Job Summary
Irth is building a modern, enterprise-grade, multi-cloud data estate using a Databricks Lakehouse platform that consolidates data across AWS, Azure, GCP, and on-prem systems.
The Senior Data Architect will lead the design, governance, and implementation strategy of this unified data platform. This is a high-impact technical leadership role responsible for defining architecture standards, ensuring governance and security compliance, and enabling scalable analytics, reporting, and AI/ML capabilities.
Requirements
Key Responsibilities
- Strategic Architecture & Design
- Design the enterprise architecture for the Databricks Lakehouse, including medallion architecture (Bronze, Silver, Gold) and semantic layers
- Develop multi-cloud data ingestion and consolidation strategies across AWS, Azure, GCP, and on-prem systems
- Define standards for data lineage, metadata management, data quality, CDC/SCD, streaming, and batch ingestion
- Establish enterprise data governance frameworks, including classification, cataloging (Unity Catalog), retention, and security policies
- Ensure compliance with global regulatory standards such as GDPR, PIPEDA, Australian Privacy Act, and SOC 2
- Architect scalable, reliable, and cost-efficient solutions to support analytics, reporting, GIS, and AI/ML workloads
- Create architecture documentation, standards, and best practices
- Implementation Leadership & Engineering Partnership
- Collaborate with data engineering teams to implement pipelines, Delta Lake storage, and Databricks workflows
- Provide technical leadership, architectural guidance, and code reviews
- Ensure consistent architecture implementation across products, tenants, and cloud environments
- Work with DevOps teams on infrastructure, networking, identity management, and CI/CD integration
- Establish monitoring, observability, and operational governance processes
- Data Governance, Security & Compliance
- Define and enforce security policies including RBAC/ABAC, encryption, and audit logging
- Integrate enterprise metadata and lineage using Unity Catalog and Purview
- Ensure compliance with data residency, regulatory, and cloud-specific requirements
- Develop standards for data retention, archival, and disaster recovery
- Analytics, AI/ML & Product Enablement
- Design architecture supporting BI tools such as Power BI and Databricks SQL
- Enable advanced analytics, predictive modeling, geospatial analytics, and AI/ML use cases
- Establish semantic modeling standards to ensure consistent business definitions across products
- Leadership & Collaboration
- Serve as a subject matter expert in Databricks Lakehouse and multi-cloud data architecture
- Mentor engineering teams on data modeling, governance, and scalable architecture practices
- Collaborate with product teams and stakeholders to translate business requirements into technical solutions
- Participate in architectural governance, vendor evaluations, and roadmap planning
Skills & Experience
Required:
- 8+ years of experience in data architecture, data engineering, or platform architecture, including 3+ years in a senior or leadership role
- Strong expertise in Databricks (preferably Azure), including Delta Lake, Unity Catalog, SQL Warehouses, and Lakehouse architecture
- Experience designing multi-cloud or hybrid architectures across AWS, Azure, and GCP
- Expertise in medallion architecture, metadata management, and enterprise data governance
- Advanced SQL skills and experience with Python, Scala, PySpark, or Spark SQL
- Experience with CDC, SCD Type 1/2, streaming pipelines, and batch processing
- Strong knowledge of security, compliance, encryption, and data governance standards
- Excellent documentation, communication, and architectural design skills
Preferred:
- Experience integrating Unity Catalog with Purview or similar metadata tools
- Knowledge of AI/ML, geospatial analytics, or predictive modeling platforms
- Experience with Power BI semantic modeling or enterprise BI architecture
- Experience in regulated or multi-tenant data environments
- Relevant certifications such as Databricks Architect, Azure Data Architect, or AWS/GCP certifications
EDUCATION
- Bachelor's or master's degree in computer science, Software Engineering, or a related field, or equivalent professional experience
Benefits
WHAT IS IN IT FOR YOU
- Being an integral part of a dynamic, growing company that is well respected in its industry
- Competitive pay based on experience
