Technical Architect - Enterprise Data

Arista Networks · Remote, United States

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.
The

Technical Architect - Enterprise Data

is responsible for defining, governing, and delivering
scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core
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.
Define Enterprise Data Architecture across Fabric, Data Lake, EDW, and analytics platforms.
Design Integration Patterns for ingestion, transformation, and consumption.
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.
Collaborate with business stakeholders and source system teams to understand data requirements.
Support QA and functional teams in defining testing strategies for new and existing features.
Integrate AI/ML Models and GenAI capabilities into data products and workflows.
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).
Designs continuity across ERP, CRM, Data Lake, Fabric, and analytics systems, ensuring business processes remain functional even during partial outages.
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.
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)
~ Arista Networks is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines.