Experience in data governance, data quality or data management

Establish and operationalise data governance so our clients data is accurate, secure, well-defined and responsibly managed. Embed governance in day-to-day delivery across integration pipelines (Informatica, Azure Data Factory), lakehouse /warehouse platforms (Databricks, dbt, SQL) and BI so teams can find, trust and use data with confidence while meeting privacy and regulatory obligations.

Key Skills & Responsibilities
Demonstrated experience in data governance, data quality or data management within analytics/engineering settings.
Familiarity with data retention, data privacy, and data classification
Hands‑on with at least two of: Informatica (IDMC/IICS/PowerCenter), Azure Data Factory, Databricks, dbt—able to read/understand pipelines, apply standards, and instrument metadata/DQ.
Solid SQL plus working knowledge of data modelling and data warehousing/lakehouse concepts (e.g.



star schemas, Delta Lake).
Practical experience with a data catalog
Understanding of privacy and security controls
Implement and maintain data governance frameworks.
Ensure data quality, compliance, and collaboration across business and IT teams.
Develop and maintain comprehensive documentation for data models.
Analytical skills

To submit your interest for this role, click on the Apply button quoting reference #5881

As we receive a high volume of applications, we appreciate your understanding that we’re unable to respond to individual enquiries.

We kindly ask that you do not contact us directly regarding application status.

Thank you for taking the time to apply we truly appreciate your interest
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📌 Data Governance Manager Melbourne
🏢 Jenny Barbour It & Project Recruitment
📍 Melbourne