Arista
Technical Architect (Enterprise Data)
Arista Networks is hiring a Technical Architect (Enterprise Data) in Dallas to define and govern enterprise data and integration architecture across Microsoft Fabric, Azure, data lakes, and EDW. Day to day they design pipelines and reference models, enforce governance, security, and DR/continuity, and guide internal teams and vendors building Power BI and AI/ML-enabled data solutions.
- Compensation
- Not disclosed
- Location
- Dallas, United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Architecture
- Posted
Skills
Must have
- 10+ years in enterprise solution architecture, data engineering, and software development
- Strong hands-on expertise with Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines, and the broader Microsoft ecosystem
- Demonstrated experience architecting ETL/ELT pipelines integrating diverse data sources into Azure Data Lake and EDW
- Advanced proficiency in DAX, Power Query, SQL, Python, and PySpark
- Deep experience with Power BI semantic models, datasets, dashboards, and reporting
- Experience with SaaS/Cloud ERP or CRM systems (NetSuite, Salesforce, SAP S/4HANA)
- Strong understanding of data modeling, normalization, metadata management, and enterprise data security
- Proven experience designing end-to-end integrations, data platforms, and automation for large enterprise environments
- Exposure to AI/ML, Copilot, GenAI, LLMs, prompt engineering, and AI API integration
- Familiarity with SDLC, software quality practices, Jira, Git, CI/CD
- Excellent communication, stakeholder management, and problem solving skills
Nice to have
- Degree preferably in Computer Science, Information Technology, Management Information Systems, or Accounting
Full description
- 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
- Define clear standards for process adherence, development methodology, documentation, and delivery timelines for all vendor led work
- 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
- Who You’ll Work With