Senior Palantir Foundry Data Engineer On-Site
A hands-on senior data engineer building production-grade Palantir Foundry data pipelines, ontology-driven models, and operational analytics apps (Workshop, Quiver) for decision-making in secure Australian government environments. Requires a current NV1/NV2/TSPV clearance; role spans data engineering, app development, and mentoring.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong analytics engineering or data engineering experience
- Hands-on Palantir Foundry expertise across Code Repositories, Pipeline Builder, Ontology and Workshop
- Strong SQL and data modelling skills
- Experience supporting production data pipelines, monitoring, SLAs and incident response
- Experience with Git-based engineering workflows and CI/CD practices
- Strong communication skills and effective stakeholder engagement
- Current NV1, NV2 or TSPV security clearance
Nice to have
- Python and PySpark experience
- Workshop and Quiver application development
- Streaming technologies, including Kafka
- API integration and onboarding experience
Full description
Job Description
- Sydney, Adelaide or Canberra office locations
- NV1, NV2 or TSPV clearance required
Build data products and operational analytics applications that support decision-making in secure environments.
We are seeking an experienced, hands-on Senior Palantir Foundry Engineer to join a small, high-performing team.
You will combine data engineering, application development and technical leadership to deliver reliable, production-grade solutions.
What you’ll do
- Develop and maintain Foundry data pipelines and ontology-driven data models.
- Build operational analytics applications using Workshop and Quiver.
- Deliver data ingestion, transformation, monitoring and downstream application integration.
- Support modern cloud-native engineering and secure platform delivery.
- Maintain production reliability through monitoring, service level agreements (SLAs) and incident response.
- Drive engineering standards, conduct code reviews and mentor team members.
What you’ll bring
- Strong analytics engineering or data engineering experience.
- Hands-on Palantir Foundry expertise across Code Repositories, Pipeline Builder, Ontology and Workshop.
- Strong SQL and data modelling skills.
- Experience supporting production data pipelines, monitoring, SLAs and incident response.
- Experience with Git-based engineering workflows and CI/CD practices.
- Strong communication skills and the ability to engage effectively with stakeholders.
- A current NV1, NV2 or TSPV security clearance is essential.Highly regarded
- Python and PySpark experience.
- Workshop and Quiver application development.
- Streaming technologies, including Kafka.
- API integration and onboarding experience.
Apply now to bring your Foundry expertise to a team where you can shape engineering practices and deliver applications with operational impact.