Permanent

New South Wales, Sydney

IT

Government

Negotiable

Laurie Weeks

laurie@talenza.com.au

26-02-2026

BBBH20358

Senior Data Platform Architect

Location: Sydney
Type: Permanent/Full-Time

We are partnering with a large, high‑profile organisation undergoing significant digital and data transformation. They are seeking a Senior Data Platform Architect to shape enterprise data strategy, design scalable data platforms, and guide best‑practice data management across the organisation.

The Role

In this role, you will define enterprise-wide data architecture, develop conceptual and logical data models, and ensure data standards, governance, and integration approaches support both current and long-term organisational needs. You will work closely with Architecture, Data & Analytics, and Technology teams to uplift data capability and influence strategic decision-making.

Key Responsibilities

• Develop and maintain enterprise-level conceptual data models and data blueprints.
• Define data management standards, taxonomies, naming conventions, and metadata practices.
• Lead architectural governance across data warehousing, BI, integration, MDM, metadata, and document management.
• Map enterprise data to business processes, systems, and technology platforms.
• Identify gaps in data architecture practices and lead initiatives to address them.
• Contribute to data governance activities and act as a member of architecture review forums.
• Stay current with industry data standards and emerging technologies, championing their adoption.

Technical Requirements (Essential)

• 10+ years in IT with 5+ years in information systems architecture/design.
• Proven experience designing and implementing enterprise information solutions.
• Hands‑on experience with MDM, data integration, data warehousing, BI, and document management.
• Expertise in cloud platforms and modern data tech, including:
  • AWS
  • Snowflake
  • Big Data ecosystems / data lake architectures
• Strong background in enterprise architecture, data governance, data modelling, information classification, and data integration patterns.
• Bachelor's degree in Computer Science, Information Systems, or equivalent experience.

Desirable Skills

• Advanced data modelling across relational, object, and semantic models.
• Knowledge of metadata management, taxonomies, ontologies, and applying structured techniques to unstructured data.
• Familiarity with industry data models (e.g., PPDM, PODS).
• Strong communication, stakeholder engagement, and facilitation skills.
• Ability to assess emerging technologies and translate them into practical business value.
• Experience working in large, complex organisations.

Why Apply?

You'll play a pivotal role in shaping an enterprise data ecosystem at scale - with direct influence on strategy, governance, and the future-state data landscape.