Startups

Technical Architect - Enterprise Data

Arista · Dallas, TX · Remote

← All jobs
About Arista

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. Backed by Accel and Greylock.

About the role

business systems. This role provides architectural leadership, ensures alignment with enterprise longterm platform roadmaps. The role will report to the IT Applications team and will work with

What they're looking for

  • 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
More about this role

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.

  • 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...

Read the full posting on Arista's site ↗

Information Technology

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.