Smart IT Frame LLC

Azure Databricks Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Architect with 10+ years of experience in Data Engineering, specializing in the Oil & Gas sector. Contract length is unspecified, with an onsite location in Houston, TX. Key skills include Azure Databricks, PySpark, and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Greater Houston
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🧠 - Skills detailed
#Data Governance #Data Pipeline #Azure DevOps #Scala #ADF (Azure Data Factory) #Azure #Compliance #Automation #Databricks #Synapse #PySpark #Data Engineering #Leadership #"ETL (Extract #Transform #Load)" #Python #DevOps #SQL (Structured Query Language) #Delta Lake #ADLS (Azure Data Lake Storage) #Azure Databricks #Cloud #Apache Spark #Security #Azure cloud #Spark (Apache Spark)
Role description
Job Title: Azure Databricks Architect (Oil & Gas) Location: Houston, TX (Onsite) Role Summary Seeking an Azure Databricks Architect with Oil & Gas domain experience to design and deliver enterprise-scale data platforms and analytics solutions on Azure. The role focuses on Azure Databricks, Lakehouse architecture, data engineering best practices, performance optimization, governance, and technical leadership. Key Responsibilities • Architect scalable data pipelines and ETL/ELT solutions using Azure Databricks and PySpark. • Design data models, Lakehouse architecture, and reusable data products. • Implement data governance, security, compliance, and performance optimization. • Optimize Spark workloads, Databricks jobs, and platform performance. • Collaborate with business stakeholders and mentor engineering teams. • Drive CI/CD, DevOps automation, and enterprise analytics initiatives. Required Skills • 10+ years in Data Engineering or Data Platform delivery. • Expertise in Azure Databricks, PySpark, Apache Spark, Python, SQL/T-SQL. • Strong experience with ADF, ADLS, Azure Synapse, Delta Lake, Databricks Workflows, Azure DevOps, and Data Warehousing. • Hands-on experience in enterprise Databricks implementations and Azure cloud transformation.