Lead Solutions Architect

About the Company

We are partnering with a highly successful, globally operating SaaS business right here in Sydney. They build data-driven software and platforms that power the global automotive industry, handling massive amounts of data across parts, service, and enterprise analytics.

With a massive global footprint and a modern tech stack, they are looking for a senior technical leader to help shape the future of their core platforms.

The Role

As the Solutions Architect, you will be the technical mastermind behind the company's data-heavy SaaS products. You will not only design highly scalable, end-to-end solutions but also act as a mentor to the engineering teams and a strategic partner to the wider business. If you love taking ownership of enterprise architecture and driving modern, "target-state" tech adoption, this is your playground.

What you will be doing

• End-to-End Design: Drive the architectural vision and design fit-for-purpose, scalable solutions for complex new features and product enhancements.
• Strategic Alignment: Act as the vital bridge between product, engineering, and business stakeholders, translating commercial needs into robust technical realities.
• Enterprise Governance: Champion architectural standards, ensuring all new designs are secure, high-performing, and aligned with the broader enterprise roadmap.
• Problem Solving: Autonomously identify architectural bottlenecks and troubleshoot complex system issues before they become roadblocks.
• Technical Leadership: Play a pivotal role in the architecture peer group, mentoring junior staff and driving the adoption of best practices across data security and application performance.

What you bring to the table

• Coding Chops: Strong background in software engineering, ideally with high proficiency in Python, Java, or Scala for data processing.
• Deep Data Expertise: Proven track record of designing large-scale data platforms, including Data Lakes, Data Warehouses, and real-time streaming environments (e.g., Databricks, Apache Spark).
• Modern Pipelines: Excellent grasp of modern ETL/ELT processes, data integration, and CI/CD pipelines for data operations.
• Next-Gen Tech: Hands-on exposure to, or a strong understanding of, AI/ML data architectures is highly desirable.
• Cloud Native: A solid background in AWS ecosystems (an AWS Solutions Architect Certification will be highly regarded!).

Think you’d be a great fit?

Let’s have a chat! I am currently shortlisting for this role. Send your CV through to [email protected] and we can set up a time to discuss the details.