Data & AI Architect

InfoCentric is one of the largest Australian-owned specialist Data Consultancies, specialising in Cloud Data Platforms, Analytics and AI. At InfoCentric, we deliver leading solutions in Data Strategy and Advisory, Cloud Data Platforms, Artificial Intelligence, GenAI, and Business Analytics and Insights to Australia’s largest organisations.

About the role:

We are looking for a Data & AI Architect – Core Data Platform & Data Science Enablement to join our team in Melbourne, Australia.

Key responsibilities include:

• Designing and architecting scalable, enterprise-grade data platforms supporting analytics, reporting, machine learning, and data science workloads
• Leading the evolution of core data platforms to support current and future data science and AI initiatives
• Defining enterprise data architecture patterns, standards, and governance frameworks
• Collaborating with Data Scientists, Engineers, and business stakeholders to translate business requirements into robust technical solutions
• Designing and optimising enterprise data models within Snowflake environments
• Supporting the integration, migration, and consolidation of data assets into Enterprise Data Platforms (EDP)
• Establishing best practices across data modelling, governance, integration, and lifecycle management
• Supporting optimisation and measurement model use cases across analytics and data science domains
• Providing architectural leadership across modern cloud data ecosystems

About you:

To be successful in this role, you'll need:

• Proven experience as a Data Architect delivering modern enterprise data platforms
• Strong experience with Snowflake
• Experience designing cloud-based solutions on Azure and/or AWS
• Strong data modelling expertise, including dimensional modelling methodologies
• Experience with ERwin or similar data modelling tools
• Deep understanding of Kimball modelling principles and data warehousing concepts
• Experience in architecting platforms that support analytics, machine learning, and data science workloads
• Strong stakeholder engagement skills with the ability to communicate effectively across technical and business audiences
• Experience designing scalable, secure, and governed data platforms

You'll be at an advantage if you also have:

• A Data Science background 
• Experience supporting optimisation, predictive analytics, and measurement modelling initiatives
• Knowledge of Data Vault methodologies
• Experience with Databricks and dbt(preferred) 
• Knowledge of data quality, observability, monitoring, and governance frameworks
• Exposure to AI and Agentic AI initiatives

Core Technologies

• Snowflake
• Azure (preferred) or AWS
• dbt
• Databricks
• ERwin (or equivalent data modelling tools)

About us:

At InfoCentric, our employees are the heart of our business. We have had many employees start their careers with us and grow into positions of responsibility. We are at the forefront of Data Platforms, Analytics and AI, driving innovation and delivering smart solutions for our clients.

Our core values reflect what's important to us:

Realise Opportunity

• We'll cover the cost of your training and certifications in the latest tools and technologies, including AWS, Azure, Snowflake, and AI
• You'll work with industry leaders and gain experience in complex Data Platforms and AI projects from the start
• You'll gain mentorship and collaboration from industry leaders

Thrive Together & Embrace Diversity

• Receive genuine recognition for work and valued behaviour
• Regular social events to connect. Previous events include private cinema screenings, bubble soccer, minigolf, bowling, and social drinks
• Be part of embracing and celebrating team diversity
• Work alongside and collaborate with experienced technical professionals in Data Platforms, AI, and GenAI

Think Big Picture

• Work flexibly to balance family, life, and career
• Create impact and positive change for the team and business
• Drive process improvement and innovation
• Contribute to shaping the future of enterprise data and AI platforms

To find out more, check out our LinkedIn Life Page or www.infocentric.com.au.

Applications

Due to the high volume of applications we receive, we will contact you if you are successful. We thank you for your interest in InfoCentric and for working with us. If you're unsuccessful for this role, we will keep your details and reach out to you regarding any suitable opportunities in the future.