

Quantum World Technologies Inc.
Senior Data Architect
β - 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.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
June 24, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Leeds, England, United Kingdom
-
π§ - 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: 10β15 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:β Databricks Lakehouse Architecture: Design and implement scalable Databricks Lakehouse solutions with Delta Lake for optimized storage and analytic
s.β Data Governance & Cataloging: Establish data cataloging, lineage, and metadata management for improved discoverabilit
y.β Performance Optimization: Tune Spark/PySpark jobs for efficiency in large-scale data processin
g.β Data Modelling & Quality: Develop dimensional/data vault models and enforce data quality check
s.β Collaboration: Work with data scientists, analysts, and business teams to enable self-service analytic
s.β CI/CD & Automation: Implement Databricks workflows and integrate with Azure/AWS/GCP data ecosystem
s.
Primary Skills (Must-Hav
e):β
Databricks β Architecture, Delta Lake, Lakehouse, Unity Catalog/Data Cata
logβ
PySpark (optimization, UDFs, Delta operatio
ns)β
SQL (advanced querying, performance tuni
ng)β
Data Lake/Warehouse best practi
ces
Secondary Skills (Nice-to-Ha
ve):πΉ Python (for scripting & automat
ion)πΉ Data Modelling (star schema, Kimball, Data Va
ult)πΉ Data Quality/Validation framew
orksπΉ ETL/ELT pipel
ines
Role: Data Architect(Technical Architect)
Location: Leeds, UK
Work Mode: Hybrid two days onsite
Experience: 10β15 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:β Databricks Lakehouse Architecture: Design and implement scalable Databricks Lakehouse solutions with Delta Lake for optimized storage and analytic
s.β Data Governance & Cataloging: Establish data cataloging, lineage, and metadata management for improved discoverabilit
y.β Performance Optimization: Tune Spark/PySpark jobs for efficiency in large-scale data processin
g.β Data Modelling & Quality: Develop dimensional/data vault models and enforce data quality check
s.β Collaboration: Work with data scientists, analysts, and business teams to enable self-service analytic
s.β CI/CD & Automation: Implement Databricks workflows and integrate with Azure/AWS/GCP data ecosystem
s.
Primary Skills (Must-Hav
e):β
Databricks β Architecture, Delta Lake, Lakehouse, Unity Catalog/Data Cata
logβ
PySpark (optimization, UDFs, Delta operatio
ns)β
SQL (advanced querying, performance tuni
ng)β
Data Lake/Warehouse best practi
ces
Secondary Skills (Nice-to-Ha
ve):πΉ Python (for scripting & automat
ion)πΉ Data Modelling (star schema, Kimball, Data Va
ult)πΉ Data Quality/Validation framew
orksπΉ ETL/ELT pipel
ines






