Principal Data Architect — Flexible 3-Day-Week Contract

Parity Consulting; Sydney; On-site; AUD 165,000 - 262,000; Full time

Benefits offered by this job

Flexible 3 day per week engagement

Collaborative team environment

Impact in not-for-profit sector

Job summary

Parity Consulting is seeking a Principal Data Architect for a 3-month contract in Sydney with a not-for-profit private health insurer. You will collaborate with the Head of Strategy, Data and AI to guide platform uplift and architecture.

In this senior role, you will shape enterprise data architecture across cloud and on-premises environments, mentor data engineering and BI teams, and translate complex business needs into scalable, governance-driven solutions.

Qualifications

• Proven experience at Principal or Senior Data Architect level.
• Strong understanding of enterprise data architecture in regulated or compliance-heavy environments.
• Experience across cloud data platforms such as Azure, AWS or Google Cloud.
• Solid understanding of data governance, security and privacy requirements.
• Experience in health insurance, financial services or government is highly regarded.
• Ability to hit the ground running and operate effectively in a part-time contract capacity.

Responsibilities

• Designing and reviewing enterprise data architecture across cloud and on-premise environments.
• Providing senior technical guidance to internal data engineering and BI teams.
• Advising on data modelling, integration patterns, governance frameworks and data quality standards.
• Supporting the organisation's broader data platform modernisation and AI enablement initiatives.
• Engaging with senior stakeholders to translate business requirements into scalable architectural solutions.

Job description

Parity Consulting is seeking a Principal Data Architect for a 3-month contract in Sydney with a not-for-profit private health insurer. You will collaborate with the Head of Strategy, Data and AI to guide platform uplift and architecture.

In this senior role, you will shape enterprise data architecture across cloud and on-premises environments, mentor data engineering and BI teams, and translate complex business needs into scalable, governance-driven solutions.