£425 Per day
Undetermined
Hybrid
London
Summary: The role of Data Solution Designer - Enterprise Data Platforms involves leading the design and architecture of enterprise-scale data solutions, particularly within a Databricks environment. The position requires defining robust data platform patterns and ensuring their successful implementation. The designer will also shape data architecture, frameworks, and standards while maintaining a hands-on approach to ensure practicality in designs. This hybrid role requires collaboration across multiple delivery teams and stakeholders.
Key Responsibilities:
- Design enterprise data solution patterns, including: Metadata-driven processing, Data lineage frameworks, Control and governance frameworks
- Define logical and physical data layers (Raw, Generic, Business)
- Own and evolve data platform frameworks and standards
- Provide architectural guidance across multiple delivery teams
- Design and optimise Databricks workflows
- Support platform-level troubleshooting and execution
- Review and contribute to Python-based framework code
Key Skills:
- Strong experience in Azure Data Platform architecture
- Hands-on expertise with Databricks
- Solid understanding of: Data modelling (logical & physical), Metadata-driven architectures, Data lineage and governance
- Experience designing scalable data platforms
- Working knowledge of Python and Spark
- Ability to guide multiple teams and stakeholders
Salary (Rate): £425 per day
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Location: London, UK (Hybrid - 2 days onsite)
Rate: £425 per day
Duration: 6 months
About the Role
We are seeking an experienced Data Solution Designer - Enterprise Data Platforms to lead the design and architecture of enterprise-scale data solutions. This role focuses on defining robust data platform patterns and ensuring successful implementation within a Databricks environment.
You will play a key role in shaping data architecture, frameworks, and standards while remaining hands-on enough to ensure designs are practical and executable.
Key Responsibilities
- Design enterprise data solution patterns, including: Metadata-driven processing, Data lineage frameworks, Control and governance frameworks
- Define logical and physical data layers (Raw, Generic, Business)
- Own and evolve data platform frameworks and standards
- Provide architectural guidance across multiple delivery teams
- Design and optimise Databricks workflows
- Support platform-level troubleshooting and execution
- Review and contribute to Python-based framework code
Key Skills & Experience
- Strong experience in Azure Data Platform architecture
- Hands-on expertise with Databricks
- Solid understanding of: Data modelling (logical & physical), Metadata-driven architectures, Data lineage and governance
- Experience designing scalable data platforms
- Working knowledge of Python and Spark
- Ability to guide multiple teams and stakeholders
Working Model
- Hybrid: 2 days per week in the London office
- No travel, shifts, or on-call requirements