* Flexible work arrangements – work in a way that suits you best, including part-time options.
* 18 weeks paid parental leave + 12 months return to work support (work 4 days and get paid 5).
Are you passionate about Data and AI technology? We are looking for an experienced Data Architect to join our innovative team. This is a fantastic opportunity to work in a collaborative environment where your ideas and expertise can make a real impact. If you want to work with hyperscaled modern data platforms and help our clients deliver value from their data and AI investments, we want to hear from you!
What will your typical day look like?
* Design Data Solutions: Architect comprehensive data solutions using modern platforms like Snowflake, Databricks, and cloud services such as AWS, Azure, or Google Cloud (experience with Google Cloud is a differentiator).
* Collaborate: Work closely with cross-functional teams to understand data needs and ensure our solutions align with business objectives.
* Optimize Data Architecture: Analyze and improve existing data architectures to enhance performance and scalability.
* Oversee multiple end-to-end implementations of Data & AI projects, ensuring high-quality data management practices and supporting the engineering teams with architecture, engineering best practices, and technology choices.
About the team
Our diverse AI & Data team comprises over 500 specialist practitioners across Australia, each of whom is constantly curious and excited about combining their business acumen and technological expertise to create data-centric solutions that help solve complex problems and transform or reinvent our client’s business.
Our relationships with market-leading vendors such as AWS, Microsoft, Google, Apple, Snowflake, Salesforce, and Informatica enable our practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale. We are consistently recognized as leaders in Cloud, Data, Analytics, and AI, including in the latest analyst reports.
Enough about us, let’s talk about you.
You may have all or some of the following skills/experiences:
* Experience: At least 5 years in data architecture or related roles, with a strong focus on modern data platforms having worked in areas like data platform infrastructure design, data engineering, and orchestration.
* Technical Skills: Proficiency in languages like SQL, Python, and an understanding of data modeling techniques. Hands-on experience with Google Cloud (BigQuery, DataFlow, DataFusion, VertexAI, and similar services), or other key cloud platforms such as AWS and Azure, particularly their data & AI services. Familiarity with ETL tools and data integration processes is essential. Experience building various architecture and solution patterns, and data platform automation frameworks leveraging technologies like Airflow, Terraform (or similar technologies), Python, etc. Knowledge of big data architectures and emerging trends in the field such as data mesh, fabric, medallion architecture. Demonstrated knowledge of AI/ML and GenAI capabilities across a variety of technology vendors and cloud platforms.
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