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InfoCentric

Technical Lead (Snowflake + DBT)

Posted 17 Days Ago
Be an Early Applicant
Melbourne, Victoria
Mid level
Melbourne, Victoria
Mid level
Lead the migration of on-premise data warehouses to Snowflake, ensuring scalability and performance while mentoring a team and collaborating with stakeholders.
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InfoCentric is one of the largest Australian-owned specialist Data Consultancy, 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 seeking a Tech Lead to drive the migration from on-premise data warehouse to Snowflake. This role requires deep expertise in Snowflake, Python, and dbt, with a strong background in technical architecture, data warehousing, team leadership, and stakeholder management. You will lead the end-to-end migration strategy, ensuring scalability, performance, and security while working closely with business and technical teams.

About you:

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

  • Lead the Migration: Architect and execute the transition of on-premise data warehouses to Snowflake in a structured, efficient manner.
  • Technical Strategy: Define the roadmap, best practices, and standards for Snowflake migration and data modeling.
  • Data Architecture & Warehousing: Design scalable Snowflake data solutions, ensuring optimal performance and security.
  • Development & Transformation: Build and optimise data pipelines using Python and DBT for data transformation.
  • Team Leadership: Mentor and guide a team of data engineers, driving best practices in coding, automation, and cloud technologies.
  • Stakeholder Management: Work closely with business leaders, data analysts, and engineers to align technical solutions with business goals.
  • Performance & Optimisation: Ensure efficient data processing, query performance tuning, and cost optimisation within Snowflake.
  • Good experience in governance and security best practices in cloud environments.

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

  • Background in banking or financial services

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.


      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 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.

      #LI-RR1

      Top Skills

      Dbt
      Python
      Snowflake
      HQ

      InfoCentric Melbourne, Victoria, AUS Office

      101 Collins St, Melbourne, Victoria, Australia, 3000

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