Data Architect - Inside IR35

Billigence; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Consultancy culture

Job summary

Billigence is seeking an experienced Data Architect to join a major business transformation, shaping the organisation's data landscape. You will work across data architecture, modelling, integration and analytics, collaborating with engineering teams, stakeholders and partners to develop scalable, governed data solutions.

The role requires strong enterprise data architecture experience and the ability to translate complex requirements into clear data architectures, models and designs.

Qualifications

• Demonstrated experience translating business needs into scalable data architectures.
• Strong ability to design enterprise-scale data models and integration patterns.
• Proven track record with cloud data platforms and analytics technologies.
• Ability to produce architecture docs, designs and blueprints.
• Experience managing risks, dependencies and technical decisions at programme level.
• Experience working with engineering and delivery partners in Agile environments.

Responsibilities

• Define and develop enterprise data architectures across programmes and projects.
• Translate requirements into scalable data architecture solutions.
• Design conceptual, logical and physical data models.
• Define data structures, integrations and data flows across systems.
• Develop architecture documentation and solution blueprints.
• Collaborate with Data Eng, Analytics, Solution Architecture and tech teams.
• Ensure governance, standards and enterprise principles are followed.
• Support ETL/ELT and data integration requirements.
• Identify and manage architectural risks and dependencies.
• Participate in architecture governance and design reviews.
• Coordinate with vendors and delivery partners to stay aligned.
• Contribute to scalable, maintainable data platforms and communications.

Skills

Data Architect experience

Enterprise data architecture

10+ years data/analytics/engineering

Data modelling

Data integration/ETL/ELT

Cloud data platforms

Architecture documentation

Stakeholder management

Agile delivery

Education

Bachelor's or Master's degree in Computer Science/Engineering/Analytics

Job description

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.

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.

Got any questions?

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.

Contact:

[e-mail]