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Arista Networks seeks a Technical Architect - Enterprise Data to define, govern, and deliver scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core business systems. This is a strategic, company-wide architectural role reporting to the IT Applications team.
You will provide architectural leadership and guidance to engineering teams, ensuring alignment with enterprise standards and the delivery of high-quality, secure, and performant solutions. Key responsibilities include:
**Architecture & Design:**
- Define enterprise data architecture across Fabric, Data Lake, EDW, and analytics platforms
- Design integration patterns for ingestion, transformation, and consumption
- Create architectural flows, reference models, and data modeling standards
- Establish governance frameworks for metadata, lineage, and RBAC
**Platform & Operations:**
- Implement data validation, logging, monitoring, and compliance controls
- Drive platform cost optimization, performance tuning, and operational excellence
- Enforce architectural governance and adherence to standards across teams
- Define and manage continuity and disaster recovery strategies for all data and integration platforms
- Proactively identify architectural risks (single points of failure, dependency bottlenecks, data corruption risks)
- Ensure every solution includes DR and continuity considerations from inception
**Stakeholder & Vendor Management:**
- Partner with business stakeholders, data teams, systems/security teams, and application owners to translate requirements into technical blueprints and long-term roadmaps
- Collaborate with source system teams to understand data requirements
- Review user stories and provide architectural guidance to development teams
- Support QA and functional teams in defining testing strategies
- Set vendor expectations for process adherence, development methodology, documentation, and delivery timelines
- Establish quality gates, review cycles, and acceptance criteria for vendor deliverables
- Conduct regular checkpoints with vendor teams to monitor progress and ensure alignment
**Emerging Technologies:**
- 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 improvement opportunities
**Requirements:**
- 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 end-to-end 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
