

Strategic Staffing Solutions
Senior Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Architect in Houston, TX, with a contract length of "unknown" and a pay rate of "unknown." Requires 10+ years of experience, expertise in Azure services, Databricks, and relevant certifications. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 24, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Databricks #Azure #Apache Spark #ADLS (Azure Data Lake Storage) #Scala #Observability #Data Architecture #Python #Azure Cosmos DB #Data Marketplace #GitHub #Data Management #Synapse #Delta Lake #Azure Data Factory #Deployment #SQL (Structured Query Language) #ADF (Azure Data Factory) #AI (Artificial Intelligence) #Spark (Apache Spark) #Data Pipeline #Data Engineering #Collibra #Metadata #Programming #Automation #ML (Machine Learning) #Data Lake #Scripting #Documentation #Debugging #Leadership #Azure Databricks #Azure Synapse Analytics #Azure ADLS (Azure Data Lake Storage) #Storage #DevOps
Role description
Architect III CVX2JP00030826
Client: Chevron
Location: Houston, TX
Responsibilities
• Technology Evaluation & Vendor Management: Lead the analysis of alternatives, proof of concepts (PoCs) and selection of vendor technologies (e.g., Data/AI Agent Marketplace, Metadata Management, Data Observability/Audit capabilities) .
• Solution Architecture & System Integration: Design end-to-end solutions leveraging Azure services, Databricks and various vendor solutions such as, Collibra, Montecarlo, Service Now, etc.
• Implementation & Deployment: Provide technical leadership and hands-on guidance to engineering teams during the implementation and integration phases, ensuring solutions are scalable, secure, and cost-effective.
• Stakeholder Collaboration: Work closely with stakeholders to drive the translation of business requirements into robust technical specifications and architectural plans.
• Performance Optimization & Observability: Monitor, troubleshoot, and optimize platforms and solutions and associated data pipelines, designing for supportability and operational excellence.
• Documentation & Best Practices: Create comprehensive documentation including architecture diagrams, data flow diagrams, technical specifications, and best practices.
Required Technical Skills
• 10+ years of experience in technology roles with proven delivery in complex environments,
• Deep expertise in Azure data services: Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Cosmos DB,
• Proficiency with Databricks platform: Hands-on experience with Azure Databricks, Apache Spark, Delta Lake, and Databricks Unity Catalog for unified governance,
• Strong programming/scripting skills: Proficiency in SQL, Python, Poweshell, CI/CD pipelines, for development, debugging, and automation,
• Strong knowledge of Identity & Access Management, DevOps, GitHub and Automation frameworks. Familiarity with AI/ML services, APIs, and integration patterns,
• Data management technologies: Experience in implementing tools and frameworks for metadata management, data marketplace, and data observability/audit capabilities,
• Architectural design & methodologies: Expertise in designing data architectures (e.g., Lakehouse, Medallion Architecture) and applying enterprise architecture frameworks (TOGAF, DAMA-DMBOK),
• System integration experience: Proven ability to integrate disparate data systems and vendor technologies into a seamless ecosystem.
Required Functional/Domain Knowledge
• Ability to work autonomously and lead technical and analysis initiatives
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder engagement
• Relevant Certifications such as: Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Data Engineer Associate, or Databricks Certifications.
• Excellent interpersonal, communication and stakeholder management skills, with the ability to articulate complex technical concepts to non-technical audiences.
Architect III CVX2JP00030826
Client: Chevron
Location: Houston, TX
Responsibilities
• Technology Evaluation & Vendor Management: Lead the analysis of alternatives, proof of concepts (PoCs) and selection of vendor technologies (e.g., Data/AI Agent Marketplace, Metadata Management, Data Observability/Audit capabilities) .
• Solution Architecture & System Integration: Design end-to-end solutions leveraging Azure services, Databricks and various vendor solutions such as, Collibra, Montecarlo, Service Now, etc.
• Implementation & Deployment: Provide technical leadership and hands-on guidance to engineering teams during the implementation and integration phases, ensuring solutions are scalable, secure, and cost-effective.
• Stakeholder Collaboration: Work closely with stakeholders to drive the translation of business requirements into robust technical specifications and architectural plans.
• Performance Optimization & Observability: Monitor, troubleshoot, and optimize platforms and solutions and associated data pipelines, designing for supportability and operational excellence.
• Documentation & Best Practices: Create comprehensive documentation including architecture diagrams, data flow diagrams, technical specifications, and best practices.
Required Technical Skills
• 10+ years of experience in technology roles with proven delivery in complex environments,
• Deep expertise in Azure data services: Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Cosmos DB,
• Proficiency with Databricks platform: Hands-on experience with Azure Databricks, Apache Spark, Delta Lake, and Databricks Unity Catalog for unified governance,
• Strong programming/scripting skills: Proficiency in SQL, Python, Poweshell, CI/CD pipelines, for development, debugging, and automation,
• Strong knowledge of Identity & Access Management, DevOps, GitHub and Automation frameworks. Familiarity with AI/ML services, APIs, and integration patterns,
• Data management technologies: Experience in implementing tools and frameworks for metadata management, data marketplace, and data observability/audit capabilities,
• Architectural design & methodologies: Expertise in designing data architectures (e.g., Lakehouse, Medallion Architecture) and applying enterprise architecture frameworks (TOGAF, DAMA-DMBOK),
• System integration experience: Proven ability to integrate disparate data systems and vendor technologies into a seamless ecosystem.
Required Functional/Domain Knowledge
• Ability to work autonomously and lead technical and analysis initiatives
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder engagement
• Relevant Certifications such as: Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Data Engineer Associate, or Databricks Certifications.
• Excellent interpersonal, communication and stakeholder management skills, with the ability to articulate complex technical concepts to non-technical audiences.






