Data Architect

InfoCentric; City of Melbourne; On-site; AUD 180,000 - 240,000; Full time

Job summary

InfoCentric in Melbourne is seeking a Data Architect to deliver modern enterprise data platforms, shaping the architecture across Azure, Databricks and Snowflake with governance in mind.

You will translate business requirements into scalable data and AI solutions, collaborate with data engineers and AI teams, and provide technical leadership across cloud data ecosystems to drive innovation.

Join a collaborative culture that values real impact and continuous learning.

Qualifications

• Strong experience with Azure and Snowflake
• Data modelling expertise including dimensional modelling
• Experience with ERwin or similar data modelling tools
• Deep understanding of Kimball modelling and data warehousing concepts
• Strong stakeholder engagement across technical and business audiences
• Experience designing scalable, secure, governed data platforms

Responsibilities

• Architect scalable Enterprise Data Platforms across Azure, Databricks and Snowflake
• Define data architecture, modelling, governance and integration standards
• Translate business requirements into scalable data and AI solutions
• Collaborate with Data Engineers, Data Scientists and AI teams
• Provide technical leadership across cloud data and AI ecosystems

Job description

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 Architect delivering modern enterprise data platforms to join our team in Melbourne, Australia.

Key responsibilities include:

• Architecting scalable Enterprise Data Platforms across Azure, Databricks and Snowflake.
• Defining data architecture, modelling, governance and integration standards.
• Translating business requirements into scalable data and AI solutions.
• Collaborating with Data Engineers, Data Scientists and AI teams.
• Supporting Python, Azure ML, Azure AI Foundry and Snowflake Cortex use cases.
• Contributing to AI and agentic AI environments and modern data platform architecture.
• Providing technical leadership across cloud data and AI ecosystems.

About you:

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

• Strong experience with Azure and Snowflake
• 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
• 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:

• 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

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.