Principal Data Platform Engineer - Governed AI & Analytics

Optiver; Sydney; Presencial; AUD 180.000 - 280.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Performance-based bonus

Relocation package

Training & mentorship

Daily breakfast

Gym membership

Regular social events

Visa sponsorship where necessary

Flexible relocation

Descripción de la vacante

Optiver is seeking a senior data solutions architect to design and deliver shared data products across Finance, People, Procurement and Compliance. You will own end-to-end data solutions on a modern stack with Databricks, dbt, Unity Catalog and DataHub.

You will translate complex business requirements into production-grade data pipelines, governance at scale, and trusted data products for analytics and AI workflows.

Formación

• 12+ years of experience designing and building production data solutions.
• Track record of architectural ownership and end-to-end data solutions.
• Expert-level SQL and data transformation skills with dbt and PySpark.
• Deep experience with Databricks, Lakehouse architectures, and governance.

Responsabilidades

• Architect and own delivery of shared data products across Finance, People, Procurement, and Compliance, from design decisions through to production
• Build and evolve the semantic layer that powers reporting, self-service analytics, conversational analytics, and Databricks Genie, writing the models, tests, and documentation that make it trustworthy
• Design and build scalable data pipelines, data models, and governed data products using Databricks, dbt, SQL, and PySpark
• Implement governance capabilities end-to-end, including Unity Catalog access controls, column-level security, data classification, lineage, and data quality standards
• Drive DataHub adoption by defining metadata standards, lineage definitions, and data ownership models that make discoverability a first-class engineering concern
• Translate complex and ambiguous requirements from senior stakeholders into production-grade data solutions, owning the problem from conversation to deployed model
• Set the engineering standard for the team through the quality of your code, architecture decisions, and pull request reviews
• Partner with the broader data team to continuously improve CI/CD, testing frameworks, observability, and data quality practices

Conocimientos

SQL

dbt

PySpark

Databricks

Unity Catalog governance

Data governance

Data modeling

BI/AI workloads

Herramientas

Delta tables

DataHub

Databricks Genie

Unity Catalog

Descripción del empleo

Optiver is seeking a senior data solutions architect to design and deliver shared data products across Finance, People, Procurement and Compliance. You will own end-to-end data solutions on a modern stack with Databricks, dbt, Unity Catalog and DataHub.

You will translate complex business requirements into production-grade data pipelines, governance at scale, and trusted data products for analytics and AI workflows.