Senior Data Architect

Job Description

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

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.