Data Engineering Platform Lead

1 day ago

Sydney, New South Wales, Australia beBeeEngineering Full time $150,000 - $200,000
Job Description:

Optiver is a global market maker with offices worldwide. We are a leading liquidity provider committed to improving the market through competitive pricing, execution and risk management.

We are looking for an experienced software engineer and team leader to lead our APAC Data Engineering Platform team. The team develops Optiver's next-generation data platform for research and real-time trading, covering orchestration, storage, access and governance of data at scale.

The team delivers robust, consistent solutions for engineers, researchers and traders, and owns changes end-to-end from problem understanding to design, implementation, testing, deployment and monitoring.

Responsibilities:
  1. Build and lead a high-performance data engineering team, including managing performance, career development and delivery.
  2. Own and deliver the vision, strategy and roadmap for Optiver's data platform.
  3. Architect platform components (orchestration, storage/table formats, metadata/governance, streaming) that scale across APAC and integrate globally.
  4. Partner with stakeholders (research, trading, developers, SRE, security) to prioritise and achieve cross-team changes.
  5. Standardise ingestion and access workflows, including schema management, lineage, permissions and audit.
  6. Collaborate with our Europe & US offices to converge patterns and shared services.
  7. Contribute hands-on to key designs and production code. Uphold high engineering standards and best practices.
Qualifications:
  1. 7+ years experience as a Software Engineer delivering production platforms and 2+ years of experience leading software engineering teams.
  2. Strong experience with distributed systems & reliability fundamentals, including partitioning, replication, consistency/availability tradeoffs.
  3. Expertise with one or more of Python/C++/Java/Rust. Solid API and system design skills.
  4. Data platform fundamentals, including batch/stream processing, table formats, object storage, SQL.
  5. Understanding of security and governance, such as encryption, authentication, and access control.
  6. Practical experience with streaming and batch data (e.g., Kafka + Schema Registry).
  7. Experience making architectural decisions on IT solutions, system design & implementation.
  8. Excellent stakeholder communication and roadmap ownership.

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