Databricks ArchitectRole OverviewWe are seeking a Senior Databricks Architectto lead the design and delivery of scalable, high-performance data platforms built on Databricks. This is a strategic role requiring strong architectural experience, hands-on design capability, and a deep understanding of modern data ecosystems.

The ideal candidate will have several years’ experience operating atarchitect level, with proven success designing and/or migrating data platforms into Databricks. Candidates with strong architecture backgrounds on comparable platforms (such as Snowflake) will also be considered, provided they hold relevant Databricks certifications.

Key Responsibilities

• Design end-to-end data architectures usingDatabricksfor analytics, data engineering, and data science use cases.
• Lead and supportdata platform migrationsinto Databricks from legacy or alternative data platforms.
• Define architectural standards, best practices, and reference patterns for Databricks implementations.
• Collaborate withdata engineers, platform teams, and stakeholders to translate business requirementsinto scalable technical solutions.
• Ensure solutions meetperformance, security, scalability, and cost-optimizationrequirements.
• Provide technical leadership and architectural governance across Databricks initiatives.
• Review existing data architectures and recommend improvements or modernisation strategies.
• Support teams with architectural guidance, troubleshooting, and design reviews.
• Essential Skills & ExperienceProven experience working as aData Architect / Platform Architectat a senior level.
• Hands-on experience designing solutions within theDatabricksecosystemOR strong architectural experience on a competing platform (e.g.Snowflake) combined withDatabricks certifications.
• Demonstrated experience withdata platform migrations, modernisation, or large-scale data transformations.
• Strong understanding of data architecture principles, including:
• Data lakes / lake house architectures.
• Data modelling and data integration patterns
• Performance optimisation and scalability
• Experience working with cloud-based data platforms.
• Strong stakeholder communication and documentation skills.

Desirable Skills & Experience

• Databricks certifications(Data Engineer, Data Architect, or equivalent).
• Experience designing solutions prior to Databricks (traditional data warehouses, big data platforms, or cloud-native data stacks).
• Knowledge of modern data engineering tools and frameworks.
• Experience operating in complex enterprise environments