Technical Architect – Enterprise Data

🕒 Outubro 21

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🔙 Engenheiro Backend

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Arista Networks

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2004

🏢 Corporativo

📡 Telecomunicações

💰 $2.600.000 Post-IPO Debt em 2015-05

Enterprise • Telecommunications • Cloud

Arista Networks é líder na construção de redes escaláveis, de alto desempenho e com latência ultrabaixa para ambientes modernos de data centers e computação em nuvem. A empresa oferece uma ampla gama de soluções de networking, incluindo o Arista Extensible Operating System (EOS) para cloud networking, o CloudVision para automação e visibilidade de redes, e uma variedade de switches e plataformas de roteamento de alto desempenho. As soluções da Arista são projetadas para redes WAN empresariais, roteamento em nível de nuvem, segmentação multi-domínio, segurança e modelos modernos de operação de rede, tornando-se uma escolha crucial para data centers de grande escala e ambientes de nuvem.

Descrição

• 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 • 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 improvement opportunities • Manage platform reliability, data quality, and governance processes • Define continuity strategy for data and integration platforms • Identify architectural risks such as single points of failure, dependency bottlenecks, and data corruption risks • Design disaster recovery and continuity across ERP, CRM, Data Lake, Fabric, and analytics systems • Ensure teams can execute continuity plans and that plans meet audit and security requirements • Set vendor expectations for process adherence, development methodology, documentation, and delivery timelines • Establish quality gates, review cycles, and acceptance criteria for vendor deliverables • Conduct vendor checkpoints, monitor progress, identify risks, and ensure architectural alignment • Provide technical guidance to vendor engineers on scalable, secure, and compliant solutions • Report to the IT Applications team and work with key IT stakeholders

🎯 Requisitos

• 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 end-to-end 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, and CI/CD • Experience with SaaS/Cloud ERP or CRM systems such as NetSuite, Salesforce, or SAP S/4HANA • Excellent communication, stakeholder management, and problem-solving skills

🏖️ Benefícios

• Remote work; role can be located anywhere in the United States • Equal opportunity employment • Confidential handling of applicant information according to EEO guidelines