About the role
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. 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. 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
