Quantum World Technologies Inc.

Senior Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Architect in Leeds, UK, with a hybrid work mode. The contract is immediate, requiring 10-15 years of experience, including 5+ years in Databricks. Key skills include Databricks architecture, PySpark, and SQL.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 24, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Delta Lake #Azure #Automation #Data Vault #Data Engineering #Scala #Python #Data Lake #Strategy #Data Architecture #Data Strategy #Storage #Data Science #Data Catalog #"ETL (Extract #Transform #Load)" #Data Quality #Data Management #SQL (Structured Query Language) #Databricks #Scripting #Metadata #Vault #Spark (Apache Spark) #PySpark #AWS (Amazon Web Services) #Data Governance
Role description
Role: Data Architect(Technical Architect) Location: Leeds, UK Work Mode: Hybrid two days onsite Experience: 10–15 Years (minimum 5+ years in Databricks) Start Date: Immediate / As soon as possible Job Summary :We are looking for an experienced Databricks Architect/Data Engineer to design, build, and optimize our Lakehouse architecture on Databricks. You will play a key role in shaping our data strategy, ensuring scalability, performance, and governance while working with Delta Lake, Data Catalog, and PySpark . Key Responsibilitie s:βœ” Databricks Lakehouse Architecture: Design and implement scalable Databricks Lakehouse solutions with Delta Lake for optimized storage and analytic s.βœ” Data Governance & Cataloging: Establish data cataloging, lineage, and metadata management for improved discoverabilit y.βœ” Performance Optimization: Tune Spark/PySpark jobs for efficiency in large-scale data processin g.βœ” Data Modelling & Quality: Develop dimensional/data vault models and enforce data quality check s.βœ” Collaboration: Work with data scientists, analysts, and business teams to enable self-service analytic s.βœ” CI/CD & Automation: Implement Databricks workflows and integrate with Azure/AWS/GCP data ecosystem s. Primary Skills (Must-Hav e):βœ… Databricks – Architecture, Delta Lake, Lakehouse, Unity Catalog/Data Cata logβœ… PySpark (optimization, UDFs, Delta operatio ns)βœ… SQL (advanced querying, performance tuni ng)βœ… Data Lake/Warehouse best practi ces Secondary Skills (Nice-to-Ha ve):πŸ”Ή Python (for scripting & automat ion)πŸ”Ή Data Modelling (star schema, Kimball, Data Va ult)πŸ”Ή Data Quality/Validation framew orksπŸ”Ή ETL/ELT pipel ines