Arista Networks logo
Arista Networks

Data-Driven Networking

Technical Architect – Enterprise Data

Backend EngineerSoftware EngineerFull TimeRemoteLeadTeam 1,001-5,000Since 2004H1B SponsorCompany SiteLinkedIn

Location

Texas

Posted

4 days ago

Salary

0

Seniority

Lead

Bachelor Degree10 yrs expEnglishAzureCloudERPETLPySparkPythonSDLCSQL

Job Description

Technical Architect – Enterprise Data

Arista Networks

• 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.

Job 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

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