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Azure Data Architect

开发工程限定地区(需当地身份)
公司Exavalu
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

总结 我们正在寻找一个经验丰富的 Azure 数据架构师,设计和领导企业数据架构,云现代化和数据平台倡议。理想候选人将拥有强大的 Azure 专业知识,对现代数据平台的实践知识,并能够将业务要求转换为可扩展,安全和高性能的数据解决方案。关键责任 ·定义企业数据结构,技术战略,标准和路线图。·设计基于 Azure 的可扩展数据湖,数据仓库和湖泊解决方案。·从本地到 Azure 进行数据现代化和迁移主导举措。· 设计数据集成,摄入,转型和处理架构。· 在 Azure Data Factory,Databricks,Synapse,ADLS 和 Microsoft Fabric 中提供技术领导力。·定义数据建模,ETL/ELT,数据管道和集成模式。·建立数据治理,安全性,质量,元数据和流程框架。·评估扩展性,性能,可靠性和成本优化的建筑选项。·与数据工程师,分析师,开发人员,QA 团队以及业务利益相关者合作。·审查技术设计,提供建筑指导,并确保遵守企业标准。· 识别技术风险和依赖性,并建议适当的架构和减轻策略。要求所需技能 · 作为数据建筑师/Azure 数据设计师经验证明。· 强大的实践经验与微软 Azure 数据服务。· 在 Azure 数据工厂,ADLS Gen2,Azure Synapse,Databricks 和 SQL 方面的专业知识。· 对数据湖,数据仓库,Lakehouse,ETL/ELT 和数据建模的强大知识。· 与 Python,Pyspark/Spark 以及大型数据处理的经验。· 关于数据集成,API,批量和实时数据管道的强大理解。· 具有数据治理,安全,质量,元数据和流程的经验 · 强大的架构,解决问题,利益相关者管理和沟通技能。优先技能 · 使用微软织品,Azure Purview,Power BI,Kafka 或事件中心的经验。·云迁移和遗留数据现代化方面的经验。• DevOps,CI/CD,基础设施作为代码以及自动部署知识。·保险或金融服务领域的经验·有关 Azure 数据建筑师/数据工程认证。优势

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This is a remote position.
Overview
We are seeking an experienced Azure Data Architect to design and lead enterprise data architecture, cloud modernization, and data platform initiatives. The ideal candidate will have strong Azure expertise, hands-on knowledge of modern data platforms, and the ability to translate business requirements into scalable, secure, and high-performing data solutions.
Key Responsibilities
· Define enterprise data architecture, technology strategy, standards, and roadmap.

  • Design scalable Azure-based Data Lake, Data Warehouse, and Lakehouse solutions.
  • Lead data modernization and migration initiatives from on-premise to Azure.
  • Design data integration, ingestion, transformation, and processing architectures.
  • Provide technical leadership across Azure Data Factory, Databricks, Synapse, ADLS, and Microsoft Fabric.
  • Define data modeling, ETL/ELT, data pipeline, and integration patterns.
  • Establish data governance, security, quality, metadata, and lineage frameworks.
  • Evaluate architecture options for scalability, performance, reliability, and cost optimization.
  • Collaborate with data engineers, analysts, developers, QA teams, and business stakeholders.
  • Review technical designs, provide architectural guidance, and ensure adherence to enterprise standards.
  • Identify technical risks and dependencies and recommend appropriate architecture and mitigation strategies.

Requirements
Required Skills
· Proven experience as a Data Architect / Azure Data Architect.

  • Strong hands-on experience with Microsoft Azure data services.
  • Expertise in Azure Data Factory, ADLS Gen2, Azure Synapse, Databricks, and SQL.
  • Strong knowledge of Data Lake, Data Warehouse, Lakehouse, ETL/ELT, and Data Modeling.
  • Experience with Python, PySpark/Spark, and large-scale data processing.
  • Strong understanding of data integration, APIs, batch and real-time data pipelines.
  • Experience with data governance, security, quality, metadata, and lineage.
  • Strong architecture, problem-solving, stakeholder management, and communication skills.

Preferred Skills

  • Experience with Microsoft Fabric, Azure Purview, Power BI, Kafka, or Event Hubs.
  • Experience with cloud migration and legacy data modernization.
  • Knowledge of DevOps, CI/CD, Infrastructure as Code, and automated deployment.
  • Experience in Insurance or Financial Services.
  • Relevant Azure Data Architect/Data Engineering certifications.

Benefits

Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons. At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

Originally posted on Himalayas

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