Data Engineer Lead

2 weeks ago

Melbourne, Victoria, Australia ALOIS Solutions Full time $120,000 - $180,000 per year

Role:
Data Engineering Lead - Snowflake Implementation & Migration Leader

Location:
Melbourne, AU

Duration
: FTC 12 months

This is a
high-visibility role
where the successful candidate will lead Snowflake migrations, design modern data solutions, and collaborate directly with senior client stakeholders (CIOs, Heads of Analytics, Finance teams, etc.). We are looking for
top-tier talent
with proven expertise in:

  • Snowflake implementation & migration projects
  • Data architecture & DevOps best practices
  • BI integrations and semantic model design
  • Engaging with senior stakeholders to drive business-ready solutions

We're keen to see
quality over quantity
– candidates who not only meet the technical brief but can also bring leadership, communication, and delivery excellence.

Summary:
In this role, you will lead end-to-end Snowflake migration projects, build semantic data models, and enable reporting solutions for small to medium-sized enterprises (SMEs). You will apply deep expertise in Snowflake's latest features, data architecture, and BI integrations while embedding modern DevOps practices. This position also offers high visibility, with direct engagement with senior client stakeholders including CIOs, Heads of Analytics, and Finance teams.

Key Responsibilities:

  • Lead Snowflake migrations & implementations, including legacy warehouse modernisation, schema design, and data optimisation.
  • Design and deliver semantic data models to enable self-service analytics.
  • Integrate Snowflake with Power BI and other BI tools for enterprise reporting.
  • Leverage advanced Snowflake features such as data sharing, marketplace, Snowpark, and performance optimisation.
  • Drive DevOps & CI/CD practices, including automated testing and infrastructure as code.
  • Collaborate with cloud architects (Azure, AWS, or GCP) to align with enterprise strategies.
  • Ensure data governance and security best practices are embedded across platforms.
  • Engage and advise senior stakeholders on data strategies and project delivery.

Requirements:

  • 5+ years of data engineering experience, with at least 3 years in Snowflake implementation.
  • Strong knowledge of Snowflake's latest features (Snowpark, marketplace, dynamic tables).
  • Proven ability to build semantic models and integrate Snowflake with BI tools (e.g., Power BI).
  • Hands-on expertise in cloud architecture (Azure, AWS, or GCP).
  • Strong background in DevOps, CI/CD pipelines, and automation frameworks.
  • Proficiency in SQL and ETL/ELT patterns.
  • Solid understanding of data governance, security, and compliance frameworks.
  • Excellent communication skills with the ability to engage both technical and business stakeholders.

Nice-to-Have:

  • Experience in SME environments balancing agility and governance.
  • Familiarity with Tableau, Looker, or other BI tools.
  • Python or scripting skills for automation and Snowpark.
  • Knowledge of data sharing and external data collaboration use cases.

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