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Senior Data Architect - Semantic Layer & Governance

Optiver • Australia
Visa Sponsorship Relocation
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AI Summary

Design and build a unified semantic layer across Finance, People, Procurement, and Compliance domains using Databricks, dbt, and Unity Catalog. Own end-to-end delivery of governed data products, implement robust governance including access controls and PII classification, and enable AI-powered conversational analytics. Requires 8+ years of production data solution experience with deep expertise in SQL, PySpark, and modern lakehouse architectures.

Key Highlights
Architect and own delivery of shared data products across multiple business domains
Build and evolve semantic layer powering reporting, self-service analytics, and Databricks Genie
Implement end-to-end governance including Unity Catalog access controls, column-level security, and data lineage
Drive DataHub adoption with metadata standards and data ownership models
Partner with broader data team to improve CI/CD, testing, and observability practices
Key Responsibilities
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 models, tests, and documentation
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
Translate complex and ambiguous requirements from senior stakeholders into production-grade data solutions
Set engineering standards for the team through code quality, architecture decisions, and pull request reviews
Partner with broader data team to continuously improve CI/CD, testing frameworks, observability, and data quality practices
Technical Skills Required
SQL PySpark Databricks dbt
Benefits & Perks
Performance-based bonus structure
Training, mentorship and personal development opportunities
Daily breakfast, lunch and in-house barista
Gym membership plus weekly chair massages
Regular social events including company trip every two years
Guided relocation and competitive relocation package
Visa sponsorship where necessary

Job Description


Every major business function, including Finance, People, Procurement, Tax, and Compliance, operates on its own version of the truth: fragmented, siloed, and manually managed. You'll build the governed data foundation that replaces this, greenfield, on a modern stack, with real architectural ownership and production delivery in your hands.

The Problem You're Solving

One truth across multiple domains. Multiple business functions. Multiple definitions of the same metrics. Your role is designing and building the unified semantic layer that brings this together. This is a real modelling challenge where getting the business logic right matters as much as getting the code right.

Governance that's engineered, not bolted on. Lineage, access control, column masking, PII classification, and data stewardship are designed into every domain from day one using Unity Catalog and DataHub. The goal is a governance model rigorous enough to hold up to regulatory scrutiny and trusted enough that business teams stop building their own extracts.

The data layer that AI depends on. Optiver is building conversational analytics and AI agents that query business data through a semantic layer. What Databricks Genie surfaces to the business depends entirely on what you build underneath it.

What You'll Do


  • 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


Who You Are


  • 8+ years of experience designing and building production data solutions, with a track record of leading complex technical initiatives end-to-end.
  • Track record of architectural ownership and designing end-to-end data solutions
  • Expert-level SQL and data transformation skills, with strong hands-on experience in dbt, PySpark, or both. You design data products for scale, write tests without friction, and have clear opinions on where each tool's limits are
  • Deep experience with Databricks, Lakehouse architectures, or comparable modern data technologies, including Delta table design, Unity Catalog governance, compute trade-offs, and downstream BI or AI workloads
  • Experience implementing governance at scale, including access control, PII handling, column-level security, data lineage, and data quality management in production environments
  • Experience building trusted business-facing data products within Finance, People/HR, Procurement, Operations, or similar domains. You understand business logic well enough to challenge unclear or incorrect requirements


Why This Is Challenging

You'll join a team building the foundations of how Optiver understands and operates its business. The data products you build will be used by business teams, leadership, and increasingly by AI-powered tools and conversational analytics experiences.

You'll work across a broad range of domains, from People and Finance to Procurement and Compliance, gaining exposure to how a global trading firm operates while building solutions on a modern stack that includes Databricks, dbt, Unity Catalog, DataHub, and Databricks Genie.

No prior trading or financial experience is needed – our onboarding program will kick-start your career at Optiver and support you in gaining all the relevant knowledge about our business.

Who We Are

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What You'll Get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:


  • A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.
  • The chance to work alongside diverse and intelligent peers in a rewarding environment.
  • Training, mentorship and personal development opportunities.
  • Daily breakfast, lunch and an in-house barista.
  • Gym membership plus weekly in-house chair massages.
  • Regular social events, including a company trip every two years.
  • Guided relocation, a competitive relocation package and visa sponsorship where necessary.


Optiver is committed to

diversity and inclusion

. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at [email protected]

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