We are supporting a hiring of a

Senior Forward Deployed Engineer

for a long-term, embedded engagement with a leading enterprise client in

Sydney, Australia .

This hands-on, client-facing role will focus on enterprise data modelling, data architecture and Databricks engineering. You will partner with Finance, HR, Risk and Compliance teams to translate complex business requirements into scalable data solutions.

Key Responsibilities

Design scalable enterprise data models and lakehouse architectures

Build production-grade data pipelines using SQL, Python/PySpark and Databricks

Implement data governance, security and access controls through Unity Catalog

Work directly with business stakeholders to understand and prioritise requirements

Establish data-quality, modelling and engineering standards

Take ownership of delivery in a fast-moving, autonomous workplace

Qualifications & Experience

Bachelor’s or Master’s degree in Computer Science, Engineering,



Data Science or a related discipline

Databricks Professional certification:

Preferred

Strong experience in enterprise data architecture, data engineering and advanced data modelling

Hands‑on expertise in Databricks, Delta Lake, Unity Catalog and Databricks Workflows

Production experience with SQL, Python/PySpark and dbt and/or Spark Declarative Pipelines

Strong understanding of data governance, security and access‑control design

Excellent stakeholder‑management and business‑communication skills

Ability to explain architectural decisions and trade‑offs in platform‑agnostic terms

Experience with

Terraform, Databricks Asset Bundles, GitHub Actions, SailPoint/Okta, BI tools or financial‑services data

would be advantageous.

Only shortlisted candidate will be notified.

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📌 Senior Forward Deployed Engineer – Enterprise Data & Databricks (Sydney)
🏢 TechClover
📍 Sydney