Enterprise Data Architect - AI-Driven Platforms

Arista Networks

Dallas (TX)

On-site

USD 180,000 - 240,000

Full time

2 days ago

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Job summary

Arista Networks in the United States is seeking a Technical Architect - Enterprise Data to define and govern scalable data architectures across Microsoft Fabric, Azure, and core business systems. You will provide architectural leadership, align with standards, and guide engineering teams to deliver high-quality, secure, and performant data solutions.

You will partner with stakeholders to translate requirements into technical roadmaps.

Qualifications

10+ years in enterprise solution architecture, data engineering, and software development.
Degree preferably in Computer Science, Information Technology, MIS, or Accounting.
Proven experience designing end-to-end integrations and data platforms for large enterprises.

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.
Define clear standards for process adherence, development methodology, documentation, and delivery timelines for all vendor led work.