Job Description
The Enterprise Data Architect plays a pivotal role in shaping, implementing, and governing the organisation's enterprise data architecture and long-term data strategy. The position demands strong technical expertise, the ability to bridge business and technology needs, and adaptability to evolving priorities and emerging opportunities.
This individual will be responsible for defining and maintaining enterprise data architecture, frameworks, and roadmaps, as well as leading the design and delivery of scalable, secure, and cost-effective data solutions on Databricks and cloud platforms.
Additionally, they will oversee enterprise-level data governance, metadata management, and master data practices, establishing and enforcing standards for data modelling, warehousing, and medallion architectures (Bronze/Silver/Gold).
They will also design and maintain high-quality data pipelines to support analytics, BI, and AI/ML use cases, providing expert guidance in database and data warehouse design to meet both transactional and analytical needs.
This professional will collaborate with business stakeholders, data scientists, analysts, and engineers to align data solutions with organisational priorities, evaluating and recommending tools, methods, and technologies to enhance data engineering and analytics capabilities.
Acting as a subject matter expert on data governance, security, privacy, and compliance, this individual will ensure that all data-related activities are aligned with organisational goals and objectives.
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Required Skills and Qualifications
* Significant background in architecting and implementing enterprise-scale data platforms using Databricks alongside major cloud environments (Azure, AWS, or GCP).
* Track record of delivering robust, secure, and cost-efficient data solutions that scale with business needs.
* Hands-on expertise with Databricks Lakehouse, Unity Catalog, Delta Live Tables, dbt, Python, SQL, CI/CD pipelines (Azure DevOps or GitHub), and infrastructure automation (Terraform or Bicep).
* Deep understanding of data modelling techniques, modern warehousing practices, and layered architectures such as Bronze/Silver/Gold.
* Strong history of working with cross-disciplinary teams to deliver integrated enterprise data outcomes.
* Advanced knowledge of governance, security, privacy, and compliance standards for enterprise data environments.
* Degree qualifications in Computer Science, IT, Engineering, or an equivalent field.
* Desirable Industry certifications in Databricks, Azure, AWS, or GCP (e.g., Certified Data Engineer, Solutions Architect).
* Familiarity with data visualisation and semantic modelling tools including Power BI or Tableau.
* Experience gained in consulting or project-driven settings, with an appreciation for aligning technology with business outcomes.
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Benefits
This is a unique opportunity to join a dynamic team and contribute to the development of cutting-edge data solutions. As a member of our team, you will have the chance to work on diverse projects, develop your skills, and advance your career.
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Others
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are passionate about data engineering and analytics, and have the skills and experience required for this role, we encourage you to apply.