Billigence
Data Architect - Inside IR35

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About Billigence
Billigence is a boutique data consultancy with global outreach and clientele, transforming the way organisations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions across Cloud Data Warehousing, Visualisation, Data Science, Data Engineering, and Data Governance.
Headquartered in Sydney, Australia, with offices around the world, we help clients navigate complex business challenges, eliminate inefficiencies, and enable scalable, data-driven decision making.
About the Role
We are looking for an experienced Data Architect to join a major business transformation programme and help shape the organisation's future data landscape.
You will work across data architecture, modelling, integration and analytics, collaborating with engineering teams, business stakeholders, technology teams and delivery partners to develop scalable and governed data solutions.
The successful candidate will bring strong enterprise data architecture experience and be comfortable translating complex business requirements into clear data architectures, models and technical designs.
What You'll Do
- Define and develop enterprise data architectures across strategic programmes and projects.
- Translate business and reporting requirements into scalable data architecture solutions.
- Design conceptual, logical and physical data models.
- Define data structures, integration patterns and data flows across enterprise systems.
- Develop and maintain architecture documentation, technical designs and solution blueprints.
- Work closely with Data Engineering, Analytics, Solution Architecture and wider technology teams.
- Ensure data solutions align with enterprise architecture principles, governance frameworks and data standards.
- Support the definition of ETL/ELT and data integration requirements.
- Identify and manage architectural risks, dependencies and technical constraints.
- Contribute to architecture governance and technical design reviews.
- Work with third-party vendors and delivery partners to ensure architectural alignment.
- Support the delivery of high-quality, scalable and maintainable data platforms.
- Communicate complex data architecture concepts clearly to both technical and business stakeholders.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Need
- Proven experience as a Data Architect, Enterprise Data Architect, Solutions Architect or similar senior architecture role.
- Strong experience designing enterprise-scale data architectures.
- 10+ years' experience across data, analytics, engineering or architecture.
- Strong expertise in data modelling, data integration, ETL/ELT and data warehousing.
- Experience working with complex enterprise data environments and multiple source systems.
- Strong understanding of modern cloud data platforms and analytics technologies.
- Experience defining data flows, integration frameworks and data structures.
- Experience producing architecture documentation, technical designs and solution blueprints.
- Understanding of data governance, architecture standards and enterprise technology principles.
- Strong stakeholder management and communication skills.
- Experience working with engineering teams, business stakeholders and third-party delivery partners.
- Experience managing architectural risks, dependencies and technical decisions across programmes.
- Experience working within Agile delivery environments.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Analytics, Information Systems or a related discipline.
- Collaborative and supportive consultancy culture.


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If you're an experienced Data Architect looking for the opportunity to shape enterprise data architecture within a major transformation programme, we'd love to hear from you.
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