Technical Architect – Enterprise Data

🔥 1 hour ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔙 Backend Engineer

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Arista Networks

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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. • Define the continuity strategy for all data and integration platforms, not just implement it. • Proactively identify architectural risks.

🎯 Requirements

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

🏖️ Benefits

• Health insurance • 401(k) matching • Paid time off • Flexible working hours • Professional development opportunities