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Data Architect

Rashi JoshiSydney, Sydney🇦🇺AustraliaPosted 29 Jul 2026

Why This Role Stands Out

This hybrid Data Architect role offers a significant opportunity to shape a major data transformation within a leading Australian organization, migrating to AWS Cloud and implementing Data Mesh principles. You'll thrive if you're a highly technical individual with a strong data engineering background, eager to lead the Finance data stream and drive impactful architectural decisions. Apply now to advance your career and contribute to a future-ready data ecosystem.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Sydney, Sydney, Australia
AWSMachine LearningAgileStakeholder Management

Job Description

Your new companyA leading Australian organisation is embarking on a major enterprise-wide data transformation program focused on modernising its data ecosystem and enabling future Data & AI capabilities. This initiative includes migrating from legacy data warehouse platforms to AWS Cloud, implementing Data Mesh principles, and establishing a scalable, cloud-native data platform that will support the organisation's long term digital strategy.

Your new roleAn opportunity exists for a Hands-On Data Architect to lead the Finance data stream within a complex transformation program. This role is ideally suited to someone who has progressed from a strong Data Engineering background into architecture and remains highly technical.

You will be responsible for defining and driving the data architecture, leading technical discussions, influencing key stakeholders, and providing hands on guidance throughout delivery. While operating at an architectural level, you will also work closely with engineering teams to ensure solutions are practical, scalable, and successfully implemented.

Key responsibilities include:
  • Lead the Finance data workstream across a large-scale transformation program.
  • Define and own the target-state data architecture and migration roadmap.
  • Drive the migration from legacy data warehouse technologies to AWS Cloud.
  • Design and implement Data Mesh-aligned architecture and data products.
  • Provide technical leadership across data engineering, integration, modelling and governance.
  • Lead architecture workshops and facilitate discussions with business and technical stakeholders.
  • Review solution designs and provide hands on technical direction to delivery teams.
  • Ensure solutions are scalable, secure, resilient and aligned to enterprise standards.
  • Enable future analytics, reporting, machine learning and AI capabilities through modern platform design.
  • Collaborate with project, architecture and engineering teams to deliver successful outcomes.
What you'll need to succeed
  • Proven experience as a Data Architect, Lead Data Architect, Principal Data Engineer or similar role.
  • Strong hands on Data Engineering background with the ability to contribute to solution design and technical decision making.
  • Experience leading enterprise data platform modernisation or cloud migration programs.
  • Deep knowledge of modern data architecture patterns and best practices.
  • Strong experience with:AWSDBTAmazon RedshiftData WarehousingData ModellingETL/ELT FrameworksData Mesh ArchitectureExperience designing cloud-native data platforms that support analytics and AI workloads.
  • Ability to independently lead discussions, workshops and stakeholder engagements.
  • Proven capability to take ownership of architecture decisions and drive outcomes.
  • Strong communication and stakeholder management skills.
  • Experience working within Agile delivery environments.
What you'll get in return
  • Initial 6-month contract with strong extension potential.
  • Opportunity to lead a critical stream of a high profile enterprise transformation program.
  • Exposure to large scale cloud, data modernisation and Data Mesh initiatives.
  • A highly collaborative environment working with senior stakeholders and technical leaders.
  • Competitive daily rate and flexible working arrangements.

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