
1001 - 5000 employees
Founded 2004
🏢 Enterprise
📡 Telecommunications
💰 $2.6M Post-IPO Debt on 2015-05
Enterprise • Telecommunications • Cloud
Arista Networks is a leader in building scalable high-performance and ultra-low-latency networks for modern data center and cloud computing environments. The company offers a wide range of networking solutions including the Arista Extensible Operating System (EOS) for cloud networking, CloudVision for network automation and observability, and a variety of high-performance switches and routing platforms. Arista's solutions are designed for enterprise WANs, cloud-grade routing, multi-domain segmentation, security, and modern network operating models, making them a pivotal choice for hyperscale data centers and cloud environments.
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1001 - 5000 employees
Founded 2004
🏢 Enterprise
📡 Telecommunications
💰 $2.6M Post-IPO Debt on 2015-05
Enterprise • Telecommunications • Cloud
Arista Networks is a leader in building scalable high-performance and ultra-low-latency networks for modern data center and cloud computing environments. The company offers a wide range of networking solutions including the Arista Extensible Operating System (EOS) for cloud networking, CloudVision for network automation and observability, and a variety of high-performance switches and routing platforms. Arista's solutions are designed for enterprise WANs, cloud-grade routing, multi-domain segmentation, security, and modern network operating models, making them a pivotal choice for hyperscale data centers and cloud environments.
• Define enterprise data architecture across Microsoft 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 opportunities for improvement • Manage platform reliability, data quality, and governance processes • Define continuity strategy for data and integration platforms • Identify architectural risks and ensure disaster recovery and continuity considerations • Design continuity across ERP, CRM, Data Lake, Fabric, and analytics systems • Ensure teams can recover systems and execute continuity plans • Ensure continuity 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 to monitor progress, identify risks, and ensure alignment • Provide technical guidance to vendor engineers
• 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
• Remote work • Work-life balance • Inclusive and diverse work environment • Equal opportunity employment • Confidential handling of employee information
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