Data Architect
Job description
Are you ready to shape the future of data architecture and help build a modern, scalable, and insights-driven enterprise?
We’re seeking an experienced Senior Data Architect to lead the design and delivery of next-generation data solutions — from data lakes and integration frameworks to advanced analytics platforms.
As the Senior Data Architect, you’ll play a key role in defining and delivering the organisation’s enterprise data architecture. In addition, you’ll ensure data is structured, governed, and leveraged effectively to support operational and strategic decision-making.
You’ll provide architectural leadership across integration, data warehousing, analytics, and governance while fostering collaboration between business units, technical teams, and senior leadership.
Key Responsibilities of the Senior Data Architect will include:
Qualifications:
We’re seeking an experienced Senior Data Architect to lead the design and delivery of next-generation data solutions — from data lakes and integration frameworks to advanced analytics platforms.
As the Senior Data Architect, you’ll play a key role in defining and delivering the organisation’s enterprise data architecture. In addition, you’ll ensure data is structured, governed, and leveraged effectively to support operational and strategic decision-making.
You’ll provide architectural leadership across integration, data warehousing, analytics, and governance while fostering collaboration between business units, technical teams, and senior leadership.
Key Responsibilities of the Senior Data Architect will include:
- Develop and maintain enterprise-wide data architecture strategies, ensuring scalability, security, and alignment with business goals.
- Lead solution design for data platforms, integrations, data lakes, and BI/reporting systems using modern architectures (batch, streaming, APIs, microservices).
- Create conceptual, logical, and physical data models across structured and unstructured data using best-practice frameworks (Inmon, Kimball, Data Vault).
- Define and enforce data standards for quality, metadata, security, privacy, and compliance.
- Architect data solutions across Azure, Snowflake, Informatica, and hybrid/multi-cloud environments.
- Collaborate with stakeholders and technical teams to translate business needs into data-driven solutions.
- Guide and mentor engineering teams on CI/CD, automation, and modern data engineering practices.
- Optimise data systems for performance, scalability, and reliability.
- Promote and embed a strong data culture across the organisation.
- 10+ years’ experience in data architecture, solution design, and enterprise data management.
- Proven success architecting large-scale BI, analytics, and integration platforms.
- Strong knowledge of cloud and hybrid ecosystems (Azure, AWS, Snowflake, Informatica, Databricks).
- Expertise in data modelling (Inmon, Kimball, Data Vault 2.0).
- Experience with data engineering tools, CI/CD, and DevOps practices.
- Deep understanding of governance, metadata, and master data management.
- Experience with modern integration approaches (APIs, event-driven, streaming).
- Excellent communication and stakeholder engagement skills.
- Strong analytical, problem-solving, and leadership capability
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (required).
- Postgraduate qualification in Data Science or Information Systems (highly regarded).
- Certifications in Microsoft, Azure, Snowflake, or Informatica (desirable).