Join Macquarie Capital as a Data Modeler and help shape the future of our data landscape. You'll establish robust data modelling practices, drive strategic architecture, and work closely with stakeholders to deliver solutions that enable business growth and resilience.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.
What role will you play?
In this role, you will build strong relationships with stakeholders to understand their requirements and deliver authoritative data models. You'll champion data modelling standards and best practices, using ErWin and related tools to ensure quality and consistency, and conduct data architecture assessments to identify opportunities for improvement and innovation. Additionally, you'll design and maintain conceptual, logical, and physical data models, supported by clear documentation, and implement and monitor data architecture controls, managing risks and deviations. You'll partner with Group Data Office and Enterprise Data Management teams to operationalise data strategy, standards, and controls, and participate in architecture forums and review boards to help shape group-wide data initiatives.
What You Offer
* 8+ years' experience in data modelling and data architecture, with hands-on expertise in ErWin or any similar tools
* Proven ability to create conceptual, logical, and physical data models, and author technical artefacts
* Excellent stakeholder management and communication skills
* Experience supporting data strategy, implementing architecture controls, and managing risks
* Exposure to cloud data platforms (AWS, GCP), data mesh, and authoritative data source management
* Deep understanding of Treasury, Capital and Liquidity, and financial domains
* Experience with large transformation projects and exposure to data governance and enterprise-wide data architecture frameworks is valuable
* Knowledge of optimising data models for cloud platforms (e.g., AWS Redshift, GCP) is highly regarded.
What We Offer
Benefits
* 1 wellbeing leave day per year
* Up to 5 additional service bonus leave days per year
* Up to 20 weeks' paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks' paid leave for non-primary caregivers
* 2 days of paid volunteer leave and donation matching
* Up to 12 months' gender affirmation leave, including 6 weeks' paid leave
* Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
* Access to a wide range of salary packaging options
* Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
* Hybrid and flexible working arrangements, dependent on role
* Reimbursement for work from home equipment
About Technology
Technology enables every aspect of Macquarie, for our people, our customers and our communities. We're a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow's technology solutions.
Our commitment to diversity, equity and inclusion
We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team.
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