Profisee Tech Architect: Enterprise MDM & Data Pipelines

Randstad; Canberra; On-site; AUD 120,000 - 170,000; Full time

Job summary

Randstad Digital, Canberra based with flexibility for other states, seeks an experienced MDM/Enterprise Data Architect to lead end-to-end Profisee MDM implementations and data integration initiatives. You will design master data frameworks, implement data quality and stewardship, and build scalable data architectures across the enterprise.

You will deliver integrations using REST APIs, Azure Data Factory and ETL/ELT pipelines, shaping ingestion, mastering, publication and syndication patterns

Qualifications

• Experience delivering enterprise MDM platforms from design through to production deployment.
• Experience designing and building enterprise data models and information architectures for complex organisations.
• Hands-on experience developing integrations using REST APIs, Azure Data Factory and ETL/ELT pipelines.

Responsibilities

• Leading the end-to-end design and implementation of Profisee MDM solutions.
• Configuring and administering the Profisee platform, including: Master Data domains, Reference Data, Hierarchies, Match and survivorship rules, Data quality rules, Stewardship workflows, Security models and RBAC.
• Designing and implementing enterprise data models and information architectures.
• Developing and supporting integrations using APIs, Azure Data Factory, Microsoft Fabric and other enterprise integration platforms.
• Designing and implementing data ingestion, mastering, publication and syndication patterns.

Skills

MDM design

Data modeling

Enterprise data architectures

APIs integration

Tools

Profisee MDM

Azure Data Factory

Microsoft Fabric

ETL/ELT pipelines

REST APIs

Job description

Randstad Digital, Canberra based with flexibility for other states, seeks an experienced MDM/Enterprise Data Architect to lead end-to-end Profisee MDM implementations and data integration initiatives. You will design master data frameworks, implement data quality and stewardship, and build scalable data architectures across the enterprise.

You will deliver integrations using REST APIs, Azure Data Factory and ETL/ELT pipelines, shaping ingestion, mastering, publication and syndication patterns