Enterprise Data Architect

16 hours ago

Adelaide, South Australia Talent Full time $120,000 - $180,000 per year
  • Enterprise Data Architect
  • Full Time Permanent Role
  • Adelaide Based Position with Hybrid working setup

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.

If the above role sounds of interest, please click on "
Apply Now",
or get in touch with
Ivan
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