Senior Data Engineer(Azure,Snowflake,DBT)

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 Technical Lead – Azure & Snowflake Data Engineering to join our team in Melbourne, Australia

This is high impact leadership role; you will play a key part in designing and delivering modern, enterprise-scale data platforms for our clients. You will lead by owning architecture decisions, guiding engineering teams, and partnering closely with stakeholders to translate complex business requirements into robust, scalable cloud solutions.

Key responsibilities include:

• Leading the design and delivery of scalable, secure, and cost-effective data platforms on Microsoft Azure

• Architecting and orchestrating robust data pipelines using Azure Data Factory (ADF)

• Designing and optimising enterprise-grade data models in Snowflake

• Implementing transformation and analytics engineering frameworks using dbt

• Driving large-scale data transformation programs across multi-source, high-volume environments

• Providing technical leadership, mentoring engineers, and uplifting delivery capability

• Engaging directly with client stakeholders to shape solution architecture and ensure successful outcomes

About you:

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

• Several years of experience in data engineering, ideally within consulting or professional services

• Proven experience leading and delivering large-scale enterprise data programs

• Deep hands-on expertise in:

  • Microsoft Azure data services (Data Lake, Synapse, Azure SQL, etc.)

  • Azure Data Factory (ADF)

  • Snowflake

  • dbt

• Advanced SQL skills and strong data modelling expertise (dimensional modelling, ELT patterns)

• Experience designing and implementing cloud-native data architectures

• Experience implementing data quality, lineage, and governance frameworks

• Excellent stakeholder management and communication skills

• Demonstrated leadership capability across multi-stakeholder delivery environments

You'll be at an advantage if you also have

• Experience with a consulting background

• Experience with Agile delivery methodologies

• Experience contributing to solution architecture and technical design documentation

  
  

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

To find out more, check out our LinkedIn Life Page or www.infocentric.com.au (http://www.infocentric.com.au).

Applications

Due to the high volume of applications we receive, you will be contacted 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 with any suitable roles in the future.