Technical Architect - Enterprise Data

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges.

At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do.

Job Description
* This role can be located anywhere in the United States.

Who You’ll Work With The Technical Architect - Enterprise Data is responsible for defining, governing, and delivering
   scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core
   business systems. This role provides architectural leadership, ensures alignment with enterprise
   standards, and guides engineering teams in implementing high quality, secure, and performant
   solutions. The architect partners with business stakeholders, data teams, systems and security
   team and application owners to translate requirements into technical & functional blueprints and
   longterm platform roadmaps. The role will report to the IT Applications team and will work with
   key IT stakeholders.

What You’ll Do

Role 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…