Databricks Architect Role Overview
We are seeking a S enior Databricks Architect to 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 at architect 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 using Databricks for analytics, data engineering, and data science use cases.
Lead and support data platform migrations into Databricks from legacy or alternative data platforms.
Define architectural standards, best practices, and reference patterns for Databricks implementations.
Collaborate with data engineers, platform teams, and stakeholders to translate business requirements into 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 & Experience Proven experience working as a Data Architect / Platform Architect at a senior level.
Hands-on experience designing solutions within the Databricks ecosystem OR s trong architectural experience on a competing platform (e.g. Snowflake ) combined with Databricks certifications .
Demonstrated experience with data 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
TPBN1_UKTJ