EY Expression Interest - Master Data Management Specialist 

Australia, New South Wales, Sydney 

147084451

Technical Architecture & Design

• Lead the design and architecture of enterprise-scale MDM solutions, defining technical blueprints, integration patterns, and deployment strategies.
• Analyse and define data requirements, ensuring data quality and integrity across systems.
• Develop comprehensive MDM architecture roadmaps including data models, API specifications, and performance optimisation strategies.
• Create technical design documents covering entity modelling, match/merge algorithms, survivorship rules, and workflow configurations.

Implementation Excellence

• Develop and maintain data governance frameworks and processes to support MDM initiatives.
• Drive hands-on implementation of MDM platforms with deep focus on implementation style, configuration, and performance tuning.
• Build and optimise match/merge strategies, data quality rules, and complex business logic within MDM platforms.
• Configure and tune MDM infrastructure for high availability, scalability, and disaster recovery.

Technical Leadership

• Provide expert-level technical guidance on MDM implementation patterns, architectural best practices, and platform-specific optimization techniques.
• Lead technical deep-dives and solution architecture reviews with client stakeholders.
• Drive technical decision-making for complex MDM challenges including real-time synchronisation, large-scale migrations, and multi-domain implementations.
• Mentor junior developers on MDM technical concepts, coding standards, and implementation methodologies.

What we look for

• Proven experience in Master Data Management PaaS platform implementation in Azure (experience with Profisee viewed favourably).
• ​Database expertise including SQL optimization, and data modelling for large-scale enterprise systems.
• ​Hands-on experience with ETL/ELT tools, data pipelines, and modern data engineering practices (preferably in Azure Services including ADF, Azure Databricks, Azure DevOps).
• ​Strong analytical and problem-solving skills with a focus on data quality and governance.
• ​Excellent communication and collaboration skills to work effectively with diverse teams.
• ​Ability to adapt to changing technologies and business needs in a fast-paced environment

Ideally, you’ll also have the skills and attributes below, but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches).
• Experience with cloud-based MDM solutions and data platforms.
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What we offer you

• Career development:At EY, your career is yours to shape!We’ll develop you with future-focused skills and equip you with world-class experiences
• Flexible work arrangements:Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package: From a yearly wellness incentive,to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally
• Salary:AI & Data offer a competitive salary which is open to negotiation pending on skills and experience.

Acknowledgement of Country

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