Overview
The Enterprise Data Architect plays a key role in shaping, implementing, and governing the organisation's enterprise data architecture and long-term data strategy.
The position is responsible for driving the adoption and maturity of a unified data platform, using Databricks and related technologies to deliver scalable, governed, and cost-effective data solutions.
Through advanced data modelling, governance frameworks, and secure analytics delivery, this role supports improved decision-making across business functions including engineering, finance, operations, and project management.
It also underpins the shift toward AI-driven insights and data-centric practices across the organisation.
The position requires strong technical expertise, the ability to bridge business and technology needs, and adaptability to evolving priorities and emerging opportunities.
Responsibilities
Define and maintain enterprise data architecture, frameworks, and roadmaps.
Lead the design and delivery of scalable, secure, and cost-effective data solutions on Databricks and cloud platforms.
Oversee enterprise-level data governance, metadata management, and master data practices.
Establish and enforce standards for data modelling, warehousing, and medallion architectures (Bronze/Silver/Gold).
Design and maintain high-quality data pipelines to support analytics, BI, and AI/ML use cases.
Provide expert guidance in database and data warehouse design to meet both transactional and analytical needs.
Collaborate with business stakeholders, data scientists, analysts, and engineers to align data solutions with organisational priorities.
Evaluate and recommend tools, methods, and technologies to enhance data engineering and analytics capabilities.
Act as a subject matter expert on data governance, security, privacy, and compliance.
Qualifications
Significant background in architecting and implementing enterprise-scale data platforms using Databricks alongside major cloud environments (Azure, AWS, or GCP).
Track record of delivering robust, secure, and cost-efficient data solutions that scale with business needs.
Hands-on expertise with Databricks Lakehouse, Unity Catalog, Delta Live Tables, dbt, Python, SQL, CI/CD pipelines (Azure DevOps or GitHub), and infrastructure automation (Terraform or Bicep).
Deep understanding of data modelling techniques, modern warehousing practices, and layered architectures such as Bronze/Silver/Gold.
Strong history of working with cross-disciplinary teams to deliver integrated enterprise data outcomes.
Advanced knowledge of governance, security, privacy, and compliance standards for enterprise data environments.
Degree qualifications in Computer Science, IT, Engineering, or an equivalent field.
Desirable
Industry certifications in Databricks, Azure, AWS, or GCP (e.g., Certified Data Engineer, Solutions Architect).
Familiarity with data visualisation and semantic modelling tools including Power BI or Tableau.
Experience gained in consulting or project-driven settings, with an appreciation for aligning technology with business outcomes.
Apply
If the above role sounds of interest, please click on "Apply Now", or get in touch with Ivan via 0480 806 152 / (08) 8228 1502
#J-18808-Ljbffr