

Cloud Azure Databricks Architect-2
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Azure Databricks Architect with a contract length of "unknown" and a pay rate of "unknown," located in Las Vegas, NV (Day 1 Onsite). Requires 10+ years in data engineering, expertise in Azure Databricks, PySpark, Python, and Unity Catalog.
π - Country
United States
π± - Currency
Unknown
-
π° - Day rate
-
ποΈ - Date discovered
September 28, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Las Vegas, NV
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π§ - Skills detailed
#PySpark #Python #Microservices #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Data Pipeline #Spark (Apache Spark) #Azure Databricks #Databricks #Data Management #Data Governance #Strategy #Azure #Data Engineering #SQL (Structured Query Language) #API (Application Programming Interface) #Data Processing #Documentation #Cloud #AI (Artificial Intelligence) #BI (Business Intelligence) #Metadata #Scala #Microsoft Power BI #Synapse
Role description
Job Type: Contract
Job Category: IT
Role: Cloud Azure Databricks Architect
Location: Las Vegas, NV (Day 1 Onsite)
Job Description:
We are seeking a skilled and experienced Cloud Azure Databricks Architect to join our dynamic team. The ideal candidate will have extensive experience in building, managing, and optimizing data pipelines and solutions on Azure Databricks. They should also possess strong expertise in PySpark, Python, SQL, Unity Catalog, and excellent communication skills.
Key Responsibilities:
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Implement and manage Unity Catalog for data governance, access control, and metadata management.
Create naming standards, guidelines, practical design patterns and frameworks for data processing.
Optimize data pipelines for performance, scalability, and cost-effectiveness.
Create documentation for data workflows, processes, and solutions.
Communicate effectively with stakeholders to provide project updates and insights.
Microservices & API Design: Experienced in designing scalable, loosely coupled architectures.
Data & AI Strategy: Skilled in integrating data management and AI/ML components into architectural designs.
Required Skills and Qualifications:
10+ years of experience in data engineering or a related field.
Strong hands-on experience with Azure Databricks and other Azure native services including Purview, Synapse and Power BI.
Proficiency in PySpark and Python for large-scale data processing.
Experience with Unity Catalog for managing data governance and access control.
Understanding of data modelling concepts and ETL/ELT workflows.
Excellent problem-solving and analytical skills.
Strong communication skills, both written and verbal, to collaborate with technical and non-technical stakeholders.
Required Skills
PERFORMANCE ARCHITECT
Job Type: Contract
Job Category: IT
Role: Cloud Azure Databricks Architect
Location: Las Vegas, NV (Day 1 Onsite)
Job Description:
We are seeking a skilled and experienced Cloud Azure Databricks Architect to join our dynamic team. The ideal candidate will have extensive experience in building, managing, and optimizing data pipelines and solutions on Azure Databricks. They should also possess strong expertise in PySpark, Python, SQL, Unity Catalog, and excellent communication skills.
Key Responsibilities:
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Implement and manage Unity Catalog for data governance, access control, and metadata management.
Create naming standards, guidelines, practical design patterns and frameworks for data processing.
Optimize data pipelines for performance, scalability, and cost-effectiveness.
Create documentation for data workflows, processes, and solutions.
Communicate effectively with stakeholders to provide project updates and insights.
Microservices & API Design: Experienced in designing scalable, loosely coupled architectures.
Data & AI Strategy: Skilled in integrating data management and AI/ML components into architectural designs.
Required Skills and Qualifications:
10+ years of experience in data engineering or a related field.
Strong hands-on experience with Azure Databricks and other Azure native services including Purview, Synapse and Power BI.
Proficiency in PySpark and Python for large-scale data processing.
Experience with Unity Catalog for managing data governance and access control.
Understanding of data modelling concepts and ETL/ELT workflows.
Excellent problem-solving and analytical skills.
Strong communication skills, both written and verbal, to collaborate with technical and non-technical stakeholders.
Required Skills
PERFORMANCE ARCHITECT