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, offering a hybrid work model. Contract length is unspecified, with an immediate start. Requires 10-15 years of experience, including 5+ years in Databricks, and expertise in Delta Lake and PySpark.
🌎 - 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
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#Data Management #PySpark #Scala #Scripting #SQL (Structured Query Language) #Vault #Azure #Metadata #Data Architecture #GCP (Google Cloud Platform) #Data Strategy #Python #Strategy #Data Quality #Data Governance #AWS (Amazon Web Services) #Data Catalog #Storage #Databricks #Data Engineering #Data Science #"ETL (Extract #Transform #Load)" #Data Processing #Spark (Apache Spark) #Automation #Delta Lake #Data Vault #Data Lake
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 Responsibilities:
✔ Databricks Lakehouse Architecture: Design and implement scalable Databricks Lakehouse solutions with Delta Lake for optimized storage and analytics.
✔ Data Governance & Cataloging: Establish data cataloging, lineage, and metadata management for improved discoverability.
✔ Performance Optimization: Tune Spark/PySpark jobs for efficiency in large-scale data processing.
✔ Data Modelling & Quality: Develop dimensional/data vault models and enforce data quality checks.
✔ Collaboration: Work with data scientists, analysts, and business teams to enable self-service analytics.
✔ CI/CD & Automation: Implement Databricks workflows and integrate with Azure/AWS/GCP data ecosystems.
Primary Skills (Must-Have):
✅ Databricks – Architecture, Delta Lake, Lakehouse, Unity Catalog/Data Catalog
✅ PySpark (optimization, UDFs, Delta operations)
✅ SQL (advanced querying, performance tuning)
✅ Data Lake/Warehouse best practices
Secondary Skills (Nice-to-Have):
🔹 Python (for scripting & automation)
🔹 Data Modelling (star schema, Kimball, Data Vault)
🔹 Data Quality/Validation frameworks
🔹 ETL/ELT pipelines
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 Responsibilities:
✔ Databricks Lakehouse Architecture: Design and implement scalable Databricks Lakehouse solutions with Delta Lake for optimized storage and analytics.
✔ Data Governance & Cataloging: Establish data cataloging, lineage, and metadata management for improved discoverability.
✔ Performance Optimization: Tune Spark/PySpark jobs for efficiency in large-scale data processing.
✔ Data Modelling & Quality: Develop dimensional/data vault models and enforce data quality checks.
✔ Collaboration: Work with data scientists, analysts, and business teams to enable self-service analytics.
✔ CI/CD & Automation: Implement Databricks workflows and integrate with Azure/AWS/GCP data ecosystems.
Primary Skills (Must-Have):
✅ Databricks – Architecture, Delta Lake, Lakehouse, Unity Catalog/Data Catalog
✅ PySpark (optimization, UDFs, Delta operations)
✅ SQL (advanced querying, performance tuning)
✅ Data Lake/Warehouse best practices
Secondary Skills (Nice-to-Have):
🔹 Python (for scripting & automation)
🔹 Data Modelling (star schema, Kimball, Data Vault)
🔹 Data Quality/Validation frameworks
🔹 ETL/ELT pipelines
