Architect III – Azure Data Platform / Enterprise Data Architect (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Architect III – Azure Data Platform / Enterprise Data Architect (Azure): Lead the evaluation, architecture, and implementation of enterprise data platforms supporting large-scale cloud, AI, and data modernization initiatives for a global energy organization with an accent on Azure and Databricks. Focus on designing end-to-end scalable data solutions, optimizing pipelines, and implementing governance frameworks like Lakehouse and Medallion architecture.
Location: Onsite in Houston, TX
Salary: $85 to $130/hour (W2)
Company
is a staffing agency providing professional technical talent for large-scale industrial and energy organizations.
What you will do
- Lead technology evaluations, PoCs, and vendor selection for enterprise data and AI platforms.
- Design end-to-end enterprise data solutions utilizing Azure, Databricks, and modern data management technologies.
- Provide architecture leadership to ensure scalable, secure, and cost-effective implementations.
- Translate business requirements into detailed technical architecture and implementation plans.
- Design and optimize enterprise data pipelines and platform performance.
- Develop comprehensive architecture diagrams, technical documentation, and best practices.
Requirements
- 10+ years of experience in enterprise technology architecture.
- Deep expertise with Azure Data Factory (ADF), ADLS Gen2, Azure Synapse Analytics, and Azure Cosmos DB.
- Hands-on experience with Azure Databricks, including Apache Spark, Delta Lake, and Unity Catalog.
- Proficiency in SQL, Python, PowerShell, and CI/CD pipelines.
- Experience implementing Lakehouse and Medallion architectures, and knowledge of TOGAF or DAMA-DMBOK.
- Must be based in or able to work onsite in Houston, TX.
Nice to have
- Microsoft Azure Solutions Architect Expert certification.
- Microsoft Azure Data Engineer Associate certification.
- Databricks Certifications.
- Experience in large enterprise cloud and data modernization initiatives.
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