Data Architect

Teachers Mutual Bank; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Teachers Mutual Bank Limited is seeking a Data Architect to shape enterprise data architecture across business initiatives and data-platform delivery. You will define models, patterns and controls to ensure data security, reuse and fit-for-purpose delivery decisions.

You’ll contribute to a multi-year technology transformation with cloud data platforms and governance-enabled AI initiatives as part of approved modernisation themes.

Qualifications

• Strong experience across data architecture, solution architecture, data engineering or enterprise integration.
• Experience designing enterprise data models, data flows and integration patterns.
• Experience with cloud data platforms, warehouses or lakehouses, including governance and data quality.

Responsibilities

• Define target-state data architecture, roadmaps, standards and reusable patterns.
• Design conceptual, logical and physical models for API, event, streaming and batch integration patterns.
• Shape architecture for cloud data platforms, warehouses, lakehouses and data products.
• Define governed RAG and knowledge architecture patterns, including grounding, indexing and provenance.
• Embed data governance, privacy, retention and regulatory requirements into architecture.
• Provide architecture guidance across data engineering, AI, technology, governance and delivery teams.

Skills

Data architecture

Solution architecture

Data engineering

Analytics architecture

Enterprise integration

Azure

Databricks

Fabric

Tools

Microsoft Azure

Microsoft Fabric

Databricks

Job description

Build the trusted data foundations that will power TMBL’s future analytics, AI and personalisation strategy.

As Data Architect, you’ll shape enterprise data architecture across business initiatives, data-platform delivery and governed AI use cases. You’ll define the models, patterns and controls that make data secure, reusable and fit for purpose, while helping teams turn target-state architecture into practical delivery decisions.

You’ll contribute to TMBL’s significant, funded, multi-year technology transformation, with cloud data platforms and future AI capability among its approved modernisation themes.

Why this role matters

Trusted data is fundamental to better analytics and responsible AI. In this role, you’ll help ensure TMBL’s data and AI solutions use authoritative, governed information, with security, privacy, quality, lineage and access requirements considered from the outset.

You’ll influence how TMBL evolves its cloud data architecture while establishing reusable patterns for data products, semantic models, integration, knowledge repositories and AI-enabled solutions.

What you’ll do

In this role, you’ll:

• Define target-state data architecture, roadmaps, standards and reusable patterns
• Design conceptual, logical and physical models alongside API, event, streaming and batch integration patterns
• Shape architecture for cloud data platforms, warehouses, lakehouses, data products and semantic layers
• Define governed RAG and knowledge architecture patterns, including grounding, indexing, provenance and access controls
• Embed data governance, privacy, cyber security, retention and regulatory requirements into architecture
• Provide architecture guidance across data engineering, AI, technology, governance and delivery teams

Build the trusted data foundations that will power TMBL’s future analytics, AI and personalisation strategy.

As Data Architect, you’ll shape enterprise data architecture across business initiatives, data-platform delivery and governed AI use cases. You’ll define the models, patterns and controls that make data secure, reusable and fit for purpose, while helping teams turn target-state architecture into practical delivery decisions.

You’ll contribute to TMBL’s significant, funded, multi-year technology transformation, with cloud data platforms and future AI capability among its approved modernisation themes.

Why this role matters

Trusted data is fundamental to better analytics and responsible AI. In this role, you’ll help ensure TMBL’s data and AI solutions use authoritative, governed information, with security, privacy, quality, lineage and access requirements considered from the outset.

You’ll influence how TMBL evolves its cloud data architecture while establishing reusable patterns for data products, semantic models, integration, knowledge repositories and AI-enabled solutions.

What you’ll do

In this role, you’ll:

• Define target-state data architecture, roadmaps, standards and reusable patterns
• Design conceptual, logical and physical models alongside API, event, streaming and batch integration patterns
• Shape architecture for cloud data platforms, warehouses, lakehouses, data products and semantic layers
• Define governed RAG and knowledge architecture patterns, including grounding, indexing, provenance and access controls
• Embed data governance, privacy, cyber security, retention and regulatory requirements into architecture
• Provide architecture guidance across data engineering, AI, technology, governance and delivery teams

What you’ll bring

Essential

• Strong experience across data architecture, solution architecture, data engineering, analytics architecture or enterprise integration
• Experience designing enterprise data models, data flows and integration patterns
• Experience with cloud data platforms, warehouses or lakehouses, together with metadata, lineage, data quality and governance
• Practical understanding of applying security, privacy, retention and access controls to data architecture
• The ability to translate business strategy and requirements into clear architecture decisions
• Experience creating architecture standards, decision records and assurance artefacts

Nice to have

• Experience within financial services or another regulated environment
• Knowledge of DAMA-DMBOK, TOGAF or comparable frameworks
• Experience with Microsoft Azure, Microsoft Fabric, Databricks or comparable cloud data ecosystems
• Experience designing data foundations for generative AI, RAG, vector search or agentic solutions
• Familiarity with AI governance and model-risk considerations

If you bring some of this experience but not all of it, we’d still encourage you to apply.

About TMBL

Teachers Mutual Bank Limited is one of Australia’s largest mutual banks.

For 60 years, we’ve been helping Australians achieve their financial goals while staying true to our purpose: banking for good.

As a 100% member-owned bank, our profits are reinvested to benefit our members, communities and the causes that matter most. Our commitment to social and environmental impact is embedded in everything we do - from the products and services we offer to the way we support our people and communities.

We’re proud to be a Certified B Corp, reflecting our commitment to high standards of social and environmental performance, transparency and accountability.

Across our five retail brands, we support more than 280,000 members, including many working in education, emergency services and healthcare - people who make a difference in communities every day.

When you join our bank, you’ll become part of a values-led organisation where passion, excellence, growth and sustainability guide the way we work. Together, we’re creating an inclusive culture, delivering great member experiences, and proving that banking can be a force for good.

Teachers Mutual Bank Ltd may conduct a background or reference check (or both) as part of the recruitment process. By applying you agree to cooperate fully in those procedures and understand that an offer is subject to the satisfactory outcome of those checks, at the discretion of Teachers Mutual Bank Ltd.