Data Lead | Melbourne (Hybrid) | Full-time

Salary: $170k + Super

Own the data function at a fast-growing SaaS data business.

Our client is a growing Australian SaaS company whose platform is built on large-scale data and predictive insights. They’re looking for a Data Lead to own their data capability end to end, from platform architecture and pipelines through to the machine learning models that drive the product.

This is a senior, hands-on role. You’ll set the data strategy and build things yourself, and your work will be visible across engineering, product and commercial teams.

What you’ll do

- Define and run the data strategy, in line with the product roadmap and commercial goals
- Design and build high-scale data pipelines on Azure and Databricks, bringing in data from third-party vendors, public sources and internal platforms
- Lead the architecture for model training, including real-time and batch feature stores
- Build, train and deploy propensity and predictive models (e.g. conversion, churn, likelihood to transact)
- Put models into production using MLOps practices: versioning, training pipelines and feedback loops
- Tune large-scale Elasticsearch indexing and query performance
- Set the standards for data governance, lineage, quality and observability
- Mentor and guide a small team

What you’ll bring

- 7+ years across data engineering, data science or ML, including 2+ years in a lead role




- Deep experience with Azure data services (Data Factory, Synapse, Event Hubs, Functions, Storage)
- Production experience with Databricks and Apache Spark
- A track record of putting ML models into production, ideally propensity or predictive models
- Solid Python and SQL, plus ML frameworks such as scikit-learn, TensorFlow or Keras
- Elasticsearch experience, or the ability to learn it quickly
- Clear communication with technical, commercial and non-technical stakeholders
- A degree in Computer Science, Engineering, Statistics, Data Science or a related field

Nice to have

- MLflow, feature stores, SageMaker or Vertex AI
- Airflow, Snowflake or Kafka
- PyTorch or transformer architectures
- Data mesh or domain-driven platform design
- .NET for data services and integration
- Experience working with large third-party and government datasets
- Experience in a SaaS or startup environment

What’s on offer

- The chance to shape the data strategy and build it from the ground up
- Flexible hours with hybrid and remote options
- A supportive, inclusive team that values learning
- Direct influence on the success of a growing SaaS product

If you’re a hands-on data leader who wants real ownership, apply now for a confidential chat.

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📌 Data Lead (Melbourne)
🏢 Triniti
📍 Melbourne