Our client, a large organisation undergoing a significant data and AI transformation is looking for a Data Architect to help shape the next generation of its enterprise data platform.
This role will sit at the centre of the organisation's data platform evolution, helping design and scale a modern Azure-based data ecosystem that enables advanced analytics, machine learning, and AI-driven decision making.
Working closely with data engineering, software development, product teams, and enterprise architecture, you will play a key role in defining the technical direction of the organisation's cloud data platform, ensuring it is scalable, secure, and capable of supporting future data and AI initiatives.
This is an excellent opportunity for someone who enjoys combining hands‑on technical architecture with strategic platform thinking, and who wants to influence how data is used across a large organisation.
Key Responsibilities
Design and evolve the organisation's enterprise data platform architecture across Azure.
Lead the selection and implementation of core technologies including data lakes, data warehouses, lakehouse architectures, orchestration tools and streaming platforms.
Architect solutions integrating technologies such as Azure Databricks, Azure Data Lake Storage, Azure Data Factory and related services.
AI & Advanced Analytics Enablement
Partner with data science and AI teams to design data architectures that support machine learning workflows, MLOps and predictive analytics.
Ensure the data platform enables scalable AI and advanced analytics use cases.
Define and promote engineering best practices, governance frameworks and architectural standards across the data platform.
Create reusable architecture patterns, frameworks and blueprints for platform delivery.
Stakeholder Collaboration
Work closely with business stakeholders, product teams and engineering leaders to translate strategic objectives into scalable data solutions.
Act as a technical advisor on data architecture and platform strategy.
Evaluate emerging technologies and recommend improvements to performance, cost efficiency and platform resilience.
Support continuous improvement of the data platform and engineering frameworks.
Security & Governance
Ensure the data architecture aligns with data governance, security and compliance requirements, including privacy regulations.
Implement best practices for data lineage, access controls and governance frameworks.
Collaborate with cloud and DevOps teams to implement infrastructure-as-code, CI/CD pipelines and monitoring practices for the data platform.
Mentorship & Technical Leadership
Provide guidance to data engineers and analytics teams on architecture principles, pipeline design and cloud-native development practices.
Skills & Experience
The successful candidate will typically have:
Strong experience with Azure Databricks, Azure Data Lake Storage Gen2 and Azure Data Factory
Deep understanding of Lakehouse architecture and Delta Lake
Strong hands‑on experience with PySpark and SQL
Experience designing architectures supporting AI/ML workflows and MLOps
Solid understanding of data governance, lineage, security and privacy frameworks
Strong experience with data modelling and ETL/ELT pipeline design
Familiarity with tools such as Power BI, GitHub, Azure DevOps or Jira
Experience working in large-scale enterprise environments
Why This Role?
Opportunity to shape a modern Azure + Databricks data platform
Influence AI and advanced analytics capabilities across the organisation
Work with cross-functional teams on large-scale data initiatives
Join an organisation investing heavily in data-driven innovation
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