Cloud Data Engineering Solution Architect

The Data Engineering Solution Architect plays a critical role in shaping and governing TALs modern data ecosystem defining solution design standards engineering patterns and technical frameworks that enable the delivery of secure scalable and trusted data capabilities. This position translates business analytics and platform requirements into end-to-end data solutions covering ingestion transformation storage orchestration and lifecycle management while leveraging cloud-native technologies and modern engineering practices.

Working across Technology Data Cyber Risk and business teams the Architect ensures data solutions align with enterprise architecture governance and risk standards while remaining practical and fit for purpose. Through strong stakeholder engagement and influence the role partners with engineers product owners and delivery teams to modernise legacy environments enhance interoperability and build reusable data capabilities that support reporting analytics operational insights and emerging AI use cases.

In this role you will:

• Define and evolve TALs data engineering architecture standards and reference patterns across ingestion storage processing orchestration and consumption.
• Define and maintain engineering standards for batch and real-time data movement transformation orchestration observability metadata capture and pipeline resilience.
• Lead the architectural design of TALs cloud-based data platform capabilities across Azure and Microsoft Fabric supporting integration services selecting the right patterns for each use case.
• Embed governance lineage data quality classification privacy and access control requirements into architecture patterns and solution designs from the outset.
• Provide hands-on architectural guidance to delivery teams supporting solution shaping design assurance estimation and technical decision-making across data initiatives.
• Build strong partnerships across Technology business domains Data Risk Cyber and strategic partners to ensure architecture decisions reflect enterprise priorities and delivery realities.

Qualifications :

• Relevant tertiary qualification in information technology computer science data engineering software engineering or a related discipline.
• Relevant certifications in cloud data architecture data engineering enterprise architecture or platform technologies (for example Azure Microsoft Fabric Databricks or TOGAF) are desirable.
• Strong understanding of modern data architecture patterns including lakehouse and warehouse architectures medallion or layered data design batch and streaming ingestion and data serving patterns.
• Deep knowledge of cloud-native data services and tooling particularly Azure data services Microsoft Fabric Databricks SQL-based platforms and integration technologies.
• Knowledge of data modelling metadata management lineage data quality observability orchestration CI/CD and platform automation practices relevant to enterprise data engineering.
• Broad understanding of data governance privacy security resilience risk and audit requirements relevant to enterprise data platforms.
• Understanding of how data platforms enable self-service analytics data products semantic access operational reporting and AI/ML lifecycle needs.
• Familiarity with engineering practices such as Python SQL Spark version control testing automation and infrastructure or pipeline-as-code is desirable.

Additional Information :

TAL is one of Australias leading life insurers committed to inclusion and supporting the career growth of our diverse workforce. Were proud to be:  

• An Inclusive Employer Recognised as Employer of Choice for Gender Equality by the Workplace Gender Equality Agency from 2014 to 2025 and 2023 to 2026 Bronze Tier Status within the Australian Workplace Equality Index  
• Diversity Champions Member of Diversity Council Australia Australian Disability Network Pride in Diversity and Champions of Change  
• Reconciliation Advocates Read our Innovate Reconciliation Action Plan. 
• We welcome applications from people with diverse experiences perspectives and backgrounds including Aboriginal and Torres Strait Islander people caregivers individuals with disability/ies people from culturally diverse backgrounds and the LGBTQ community.  
• Need adjustments during the recruitment process Let our team know by getting in touch with us  here to support you. 

Yourealwaysaccountable for your actions. You never give up. You strive to find the best outcomes for customers and valueworking together to find the best solutions for problems.  

As part of the recruitment process there are several checks which may be conducted to demonstrate your eligibility for a role at TAL including Criminal History Bankruptcy Entitlement to Work Regulatory and Reference Checks.  

#LI-Hybrid 

Everyone at TAL has a responsibility to do the right thing and is accountable for the way they conduct themselves. Our expectations are that you follow the principles set out in our Code of Conduct when you come to work every day. Risk management is everyones responsibility.

If you are already a TAL employee please apply via the SmartRecruiters button in Workday and navigate to the Employee Portal. This is important to ensure that your application is recorded accurately.

Remote Work :

No

Employment Type :

Full-time