Job description
Job Title: Data Architect – Databricks Specialist
Location: Remote (UK-based candidates preferred)
Engagement: Contract - Status determination TBC
Start Date: ASAP
Sector: Financial Services / Consultancy
About the Role We’re looking for an experienced Data Architect with deep expertise in Databricks to join a high-profile data transformation programme within a leading financial consultancy. You will be instrumental in the design and delivery of a scalable, secure, and high-performing data platform leveraging the Databricks Lakehouse architecture.
This is a critical project where you’ll step into a mature environment, helping to define architectural direction and ensure best practices in data engineering, governance, and performance optimisation.
Key Responsibilities
Location: Remote (UK-based candidates preferred)
Engagement: Contract - Status determination TBC
Start Date: ASAP
Sector: Financial Services / Consultancy
About the Role We’re looking for an experienced Data Architect with deep expertise in Databricks to join a high-profile data transformation programme within a leading financial consultancy. You will be instrumental in the design and delivery of a scalable, secure, and high-performing data platform leveraging the Databricks Lakehouse architecture.
This is a critical project where you’ll step into a mature environment, helping to define architectural direction and ensure best practices in data engineering, governance, and performance optimisation.
Key Responsibilities
- Lead the architecture and design of a next-gen data platform using Databricks and Delta Lake
- Collaborate with stakeholders including data engineers, analysts, and business leads to define data requirements and architecture patterns
- Ensure the platform is scalable, secure, and aligned to financial regulatory standards
- Develop architectural artefacts (diagrams, documentation, guidelines)
- Provide technical leadership and mentorship to engineering teams
- Champion best practices in data quality, lineage, governance, and performance tuning
- Integrate with a wider Azure ecosystem (e.g. Azure Data Lake, Synapse, Power BI)
- Proven experience as a Data Architect in enterprise environments
- Extensive hands-on experience with Databricks (including SQL, PySpark, Delta Lake)
- Solid background in data warehousing, data lakes, and big data frameworks
- Strong knowledge of Azure cloud services, especially in data integration
- Experience working in regulated environments (e.g. financial services, insurance, banking)
- Excellent communication skills, capable of engaging with technical and non-technical stakeholders alike
- Comfortable working in agile, fast-paced delivery environments
- Familiarity with CI/CD pipelines, Infrastructure as Code (e.g. Terraform, ARM)
- Exposure to data governance tools like Unity Catalog, Purview, Collibra
- Knowledge of data privacy regulations (GDPR, financial compliance)
- Join a respected financial consultancy at the forefront of data innovation
- Work on a greenfield Databricks implementation with high visibility
- Collaborate with top-tier engineering and architecture professionals
- Long-term potential with future project opportunities