Key Requirements

- 7+ years of experience in Data Modeling, Enterprise Data Architecture, and Data Design.
- Able to lead the design and maintenance of robust conceptual, logical, and physical data models to support complex financial market operations.
- Proficiency with enterprise data modeling tools such as Erwin, ER/Studio, or Hackolade.
- Knowledge of diverse modeling methodologies and able to modernise legacy data structures and design schemas optimized for high-performance cloud data warehouses and real-time streaming architectures
- Deep experience within financial markets, covering Exchange Traded Products (ETPs), Equities, Derivatives, and Fixed Income.
- Good understanding of the ASX market operations workplace, trading lifecycles, and post-trade clearing and settlement mechanisms.
- Able to map and model end-to-end trading workflows, including order execution, market data dissemination, clearing, and settlement.
- Advanced SQL skills and proven experience modeling for cloud-scale data platforms (e.g., AWS/Azure Data Lakes, Databricks).




- Familiarity with event-driven data designs and real-time streaming architectures (Apache Kafka or cloud-native equivalents).
- Experience utilizing Data Lineage and Metadata Management platforms. Integrate data lineage, metadata management, and data quality controls into the core architecture to meet strict local regulatory mandates.
- Solid understanding of Australian and global financial regulatory requirements impacting data asset management, such as APRA CPS 234 / CPS 235 and BCBS 239.
- Ability to work with business stakeholders, data architects, quantitative analysts, and downstream engineering teams to translate business requirements into highly effective technical blueprints.
- Experience implementing or working with ISO 20022 and FIX Protocol messaging standards will be an added advantage.

Pay: From $140,000.00 per year

Work Location: Hybrid remote in Sydney NSW

📌 Sr. Data Modeler (Sydney)
🏢 Duxxel
📍 Sydney