技术架构师 - 企业数据
Technical Architect - Enterprise Data
#### 公司简介
Arista Networks 是数据驱动、客户端到云的网络解决方案在大型数据中心、校园和路由环境中的行业领导者。我们与众不同之处在于对创新的不懈追求。我们利用云计算、人工智能和软件定义网络的最新进展，为客户提供在日益互联的世界中保持竞争优势的能力。我们的解决方案不仅满足当前数字环境的需求，还能预见并适应未来的挑战。
在 Arista，我们重视每位员工带来的多样化的思想和视角。我们认为，营造一个包容的环境，让来自不同背景和经验的个人感到受欢迎，是推动创造力和创新的关键。
我们对卓越的承诺使我们获得了多项备受推崇的奖项，如最佳工程团队、最佳多元化、薪酬和工作与生活平衡公司。在 Arista，我们以取得的成功记录为荣，并努力在我们所做的每一件事中保持最高质量与性能标准。
#### 职位描述
***此职位可在全美任何地点工作。**
**企业数据技术架构师** 负责定义、管理并交付跨 Microsoft Fabric、Azure 和核心业务系统的可扩展企业数据和集成架构。该角色提供架构领导力，确保符合企业标准，并指导工程团队实现高质量、安全且高效的解决方案。架构师与业务利益相关者、数据团队、系统和安全团队以及应用负责人合作，将需求转化为技术与功能蓝图及长期平台路线图。该职位向 IT 应用团队汇报，并与关键 IT 利益相关者合作。
**岗位职责：**
- 在 Fabric、数据湖、EDW 和分析平台上定义企业数据架构。
- 设计数据摄取、转换和消费的集成模式。
- 创建架构流程和参考模型。
- 建立数据建模、元数据、血缘关系和治理的标准。
- 实现数据验证、日志记录、监控、血缘关系和基于角色的访问控制（RBAC）。
- 确保符合企业安全、保密和监管标准。
- 推动平台成本优化、性能调优和
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#### Company Description
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges.
At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.
Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do.
#### Job Description
***This role can be located anywhere in the United States.**
The **Technical Architect - Enterprise Data** is responsible for defining, governing, and delivering
scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core
business systems. This role provides architectural leadership, ensures alignment with enterprise
standards, and guides engineering teams in implementing highquality, secure, and performant
solutions. The architect partners with business stakeholders, data teams, systems and security
team and application owners to translate requirements into technical & functional blueprints and
longterm platform roadmaps. The role will report to the IT Applications team and will work with
key IT stakeholders.
**Role Responsibilities:**
- Define Enterprise Data Architecture across Fabric, Data Lake, EDW, and analytics platforms.
- Design Integration Patterns for ingestion, transformation, and consumption.
- Create architectural flows and reference models.
- Establish standards for data modeling, metadata, lineage, and governance.
- Implement data validation, logging, monitoring, lineage, and RBAC.
- Ensure compliance with enterprise security, confidentiality, and regulatory standards.
- Drive platform cost optimization, performance tuning, and operational excellence.
- Enforce architectural governance and adherence to standards.
- Collaborate with business stakeholders and source system teams to understand data requirements.
- Translate business needs into technical specifications and architectural roadmaps.
- Review user stories and provide architectural guidance to development teams.
- Support QA and functional teams in defining testing strategies for new and existing features.
- Ensure delivered solutions align with business needs and architectural intent.
- Integrate AI/ML Models and GenAI capabilities into data products and workflows.
- Evaluate emerging technologies and recommend adoption strategies.
- Guide teams on responsible AI usage and integration patterns.
- Conduct root cause analysis for data issues and identify opportunities for improvement.
- Manage platform reliability, data quality, and governance processes.
- The architect defines the continuity strategy for all data and integration platforms, not just implements it.
- Proactively identifies architectural risks (single points of failure, dependency bottlenecks, and data corruption risks).
- Ensures every solution includes DR, and continuity considerations from day one—not bolted on later.
- Designs continuity across ERP, CRM, Data Lake, Fabric, and analytics systems, ensuring business processes remain functional even during partial outages.
- Ensures teams know how to recover systems, where documentation lives, and how to execute continuity plans.
- Ensures continuity plans meet audit, and security requirements.
**Set Vendor Expectations**
- Define clear standards for process adherence, development methodology, documentation, and delivery timelines for all vendor led work.
**Drive Quality Accountability**
- Establish quality gates, review cycles, and acceptance criteria to ensure vendor deliverables meet architectural and coding standards.
- Conduct regular checkpoints with vendor teams to monitor progress, identify risks, and ensure alignment with enterprise architecture principles.
- Provide technical guidance to vendor engineers to ensure solutions are scalable, secure, and compliant with enterprise patterns.
#### Qualifications
- 10+ years in enterprise solution architecture, data engineering, and software development.
- Degree preferably in Computer Science, Information Technology, Management Information Systems, or Accounting.
- Proven experience designing endtoend integrations, data platforms, and automation for large enterprise environments.
- Strong hands-on expertise with **Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines**, and the broader Microsoft ecosystem.
- Deep experience with **Power BI semantic models**, datasets, dashboards, and reporting.
- Advanced proficiency in **DAX, Power Query, SQL, Python, and PySpark.**
- Demonstrated experience architecting **ETL/ELT pipelines** integrating diverse data sources into Azure Data Lake and EDW
- Strong understanding of **data modeling**, normalization, metadata management, and enterprise data security.
- Exposure to **AI/ML, Copilot, GenAI**, LLMs, prompt engineering, and AI API integration.
- Familiarity with **SDLC**, software quality practices, Jira, Git, CI/CD.
- Experience with SaaS/Cloud ERP or CRM systems (NetSuite, Salesforce, SAP S/4HANA)
- Excellent communication, stakeholder management, and problem solving skills
#### Additional Information
Arista Networks is an equal opportunity employer. Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law. All your information will be kept confidential according to EEO guidelines.