Technical Architect - Enterprise Data

Arista Networks, Inc.; Texas; Remote; USD 140,000 - 190,000; Full time

Job summary

Arista Networks is seeking a Technical Architect - Enterprise Data to define and govern scalable data architectures across Fabric, Azure, and core systems. You will lead architectural delivery, collaborate with data and security teams, and guide engineering in secure, high-performance solutions.

You will translate business needs into technical roadmaps, review development work, and drive AI/GenAI integration across data products while ensuring governance and compliance.

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 endtoend integrations, data platforms, and automation for large enterprises.
• Hands-on with Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines, and Microsoft ecosystem.
• Experience with Power BI semantic models, datasets, dashboards, and reporting.
• Proficiency in DAX, Power Query, SQL, Python, PySpark.
• ETL/ELT pipelines integrating diverse data sources into Azure Data Lake and EDW.
• Strong data modeling, metadata management, and data security knowledge.
• Exposure to AI/ML, GenAI, Copilot, LLMs, AI API integration.
• Familiarity with SDLC, Jira, Git, CI/CD.
• Experience with SaaS/Cloud ERP or CRM (NetSuite, Salesforce, SAP S/4HANA).
• Excellent communication, stakeholder management, and problem solving.

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 security, confidentiality, and regulatory compliance.
• Drive platform cost optimization, performance tuning, and reliability.
• Enforce governance and adherence to standards.
• Collaborate with stakeholders to translate data requirements into roadmaps.
• Review user stories and provide architectural guidance to dev teams.
• Support QA in defining testing strategies for features.
• Integrate AI/ML and GenAI capabilities into data products.
• Guide teams on responsible AI usage and integration patterns.
• Conduct root cause analysis for data issues and improve quality.
• Define continuity strategy for data and integration platforms from day one.
• Identify architectural risks and mitigate single points of failure.

Skills

Enterprise data architecture

Data governance

Security & compliance

AI/GenAI integration

Stakeholder management

Education

CS/IT/MIS/Accounting degree

Tools

Microsoft Fabric

Azure Data Lake

Data Warehouse

Data Pipelines

Power BI

Python

SQL

PySpark

Jira

Git

CI/CD

Job 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.

*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 highquality, 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 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.

Set Vendor Expectations

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

Drive Quality Accountability

• Establish quality gates, review cycles, and acceptance criteria to ensure vendor deliverables meet architectural and coding standards.
• Conduct regular checkpoints with vendor teams to monitor progress, identify risks, and ensure alignment with enterprise architecture principles.
• Provide technical guidance to vendor engineers to ensure solutions are scalable, secure, and compliant with enterprise patterns.

• 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 endtoend 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

Arista Networks is an equal opportunity employer. Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law. All your information will be kept confidential according to EEO guidelines.