KBC Technologies Group
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect specializing in Databricks, with a contract length of "unknown" and a pay rate of "unknown." Key skills include strong Databricks experience, data modeling, SQL, Spark, and Azure cloud platforms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Horsham, England, United Kingdom
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🧠 - Skills detailed
#Azure #Data Quality #Data Governance #"ETL (Extract #Transform #Load)" #Data Architecture #Physical Data Model #Spark (Apache Spark) #Cloud #Data Lakehouse #Databricks #Data Lineage #SQL (Structured Query Language) #Data Lake #Agile #Data Integration #API (Application Programming Interface)
Role description
JD as follows: Data Architect - Databricks
Key Deliverables
• Data Architecture Designs
• Logical and Physical Data Models
• Source-to-Target Mapping Specifications
• Data Flow and Integration Designs
• Data Governance and Quality Requirements
• Data Lineage and Reconciliation Designs
• Technical Design Reviews and Approvals
• Architecture Decision Records
Required Skills
• Strong Databricks architecture and design experience.
• Data Lakehouse and large-scale data platform experience.
• Data modelling (Conceptual, Logical and Physical).
• SQL, Spark and ETL/ELT architecture.
• Data integration and API design.
• Data quality, reconciliation and controls.
• Cloud data platform experience (Azure preferred).
• Experience working in Agile delivery programmes.
JD as follows: Data Architect - Databricks
Key Deliverables
• Data Architecture Designs
• Logical and Physical Data Models
• Source-to-Target Mapping Specifications
• Data Flow and Integration Designs
• Data Governance and Quality Requirements
• Data Lineage and Reconciliation Designs
• Technical Design Reviews and Approvals
• Architecture Decision Records
Required Skills
• Strong Databricks architecture and design experience.
• Data Lakehouse and large-scale data platform experience.
• Data modelling (Conceptual, Logical and Physical).
• SQL, Spark and ETL/ELT architecture.
• Data integration and API design.
• Data quality, reconciliation and controls.
• Cloud data platform experience (Azure preferred).
• Experience working in Agile delivery programmes.
