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Technical Architect (Enterprise Data)

Arista

Join our team as a Technical Architect - Enterprise Data. In this role, you will define and govern scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core business systems. You will provide architectural leadership, ensure alignment with enterprise standards, and guide engineering teams in implementing high-quality, secure, and performant solutions.

Responsibilities

  • You will collaborate with business stakeholders, data teams, systems and security teams, and application owners to translate requirements into technical and functional blueprints and long-term platform roadmaps.
  • Definición de la arquitectura de datos empresarial, diseño de patrones de integración y creación de flujos arquitectónicos.
  • Proven experience designing endtoend integrations, data platforms, and automation for large enterprise environments

Requirements

  • Establecimiento de estándares para la modelización de datos, metadatos, linaje y gobernanza, y cumplimiento de normas de seguridad.
  • Colaboración con partes interesadas comerciales y equipos de sistemas de origen para comprender los requisitos de datos.
  • Familiarity with SDLC, software quality practices, Jira, Git, CI/CD
  • Deep experience with Power BI semantic models, datasets, dashboards, and reporting
  • Strong understanding of data modeling, normalization, metadata management, and enterprise data security
  • Excellent communication, stakeholder management, and problem solving skills
  • Strong hands-on expertise with Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines, and the broader Microsoft ecosystem
  • 10+ years in enterprise solution architecture, data engineering, and software development
  • Degree preferably in Computer Science, Information Technology, Management Information Systems, or Accounting
  • Exposure to AI/ML, Copilot, GenAI, LLMs, prompt engineering, and AI API integration
  • Demonstrated experience architecting ETL/ELT pipelines integrating diverse data sources into Azure Data Lake and EDW

Preferred

  • Experience with SaaS/Cloud ERP or CRM systems (NetSuite, Salesforce, SAP S/4HANA)
  • Advanced proficiency in DAX, Power Query, SQL, Python, and PySpark