The Solutions Architect (Data Analytics) is responsible for leading the design, evaluation, and implementation of enterprise-level data analytics solutions.
This role ensures data solutions are aligned with business requirements, technology standards, and governance frameworks.
You will provide expert architectural guidance, assess solution options, and support the delivery of scalable, high-performing analytics platforms.
The role works closely with project managers, data engineers, analysts, and senior stakeholders to enable current and future state analytics capabilities.
What be you’ll doing?
Design end-to-end data analytics architectures across cloud, on-premises, and hybrid environments
Translate business and technical data requirements into secure, scalable analytics solutions
Perform options analysis, market scans, and proof-of-concepts for modern analytics platforms
Identify architecture risks, issues, and dependencies, providing clear recommendations
Develop cost estimates for solution delivery and ongoing operational support
Ensure compliance with data governance, security, and privacy standards
Document data integration, analytics workflows, pipelines, and solution designs
Your Skills:
Strong solution architecture experience within data and analytics domains
Expertise in cloud platforms such as Microsoft Azure (ADF, Synapse), AWS, or GCP
Experience with modern analytics platforms including Microsoft Fabric, Databricks, Snowflake, Purview
Proficiency in data modelling, integration patterns, and analytics solution design
Strong stakeholder engagement skills, including executive-level communication
Ability to produce architecture artefacts, gap analysis, and solution recommendations
Familiarity with Power BI and data visualisation tools
Experience with Technology Business Management (TBM) frameworks (desirable)