Data Governance Specialist (Contract, 6-12 Months)

About the role

West Recruitment is recruiting, on behalf of West Technology, a Data Governance Specialist / Analyst for a 6-12 month initial contract in Western Sydney. The client is an established organisation strengthening its Data Governance function through experienced Data Stewards who work with Data Engineering, Data Architecture and business stakeholders to improve data quality, consistency and accessibility. Only permanent Australian residents or citizens based full-time in Sydney can apply.

Key responsibilities

• Improve data governance practices so information is accurate, reliable and well managed across business systems and the enterprise data platform.
• Work with technical and business teams to investigate complex data quality issues, find root causes and develop practical solutions.
• Use SQL and Databricks to analyse datasets, assess data ingestion and transformation processes and set data quality controls.
• Contribute to data ownership frameworks, business definitions, metadata management and data lineage, using Databricks and Unity Catalog to improve data visibility.
• Support business and technology initiatives by identifying governance requirements, assessing data risks and embedding controls in data pipelines and data products.
• Apply DAMA-DMBOK principles to build consistent data management practices and improve data quality and governance.

Required profile

• Proven experience in Data Governance, Data Quality, Data Stewardship or a related data management role.
• Strong background in data governance, ideally in a complex enterprise environment.
• Comfortable working across business and technical teams and able to turn data findings into practical solutions.
• Strong analytical skills and confidence with modern data platforms, not just a policy or compliance background.
• Experience contributing to enterprise-wide governance frameworks, data privacy initiatives or AI governance is highly regarded.

Required skills

• Strong SQL, including investigating data quality issues and analysing complex datasets.
• Databricks or a comparable modern data platform.
• Understanding of data ingestion, transformation, data architecture and data pipelines.
• Metadata management, data lineage, data ownership and data cataloguing.
• Unity Catalog or comparable governance tools.
• DAMA-DMBOK principles and practical application.
• Defining data quality rules, controls and monitoring requirements.