Job Overview
The Data Platform Strategist plays a pivotal role in shaping and implementing an organisation's enterprise data architecture and long-term data strategy. This position drives the adoption and maturity of a unified data platform, leveraging Databricks and related technologies to deliver scalable, governed, and cost-effective data solutions.
* Define and maintain enterprise data architecture frameworks and roadmaps
* Lead the design and delivery of scalable, secure, and cost-effective data solutions on Databricks and cloud platforms
* Oversee enterprise-level data governance, metadata management, and master data practices
* Establish and enforce standards for data modelling, warehousing, and medallion architectures (Bronze / Silver / Gold)
* Design and maintain high-quality data pipelines to support analytics, business intelligence, and AI/ML use cases
* Provide expert guidance in database and data warehouse design to meet both transactional and analytical needs
* Collaborate with business stakeholders, data scientists, analysts, and engineers to align data solutions with organisational priorities
* Evaluate and recommend tools, methods, and technologies to enhance data engineering and analytics capabilities
* Act as a subject matter expert on data governance, security, privacy, and compliance
Key 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