Technical Architect - Enterprise Data (Microsoft Fabric)

TL;DR

Technical Architect - Enterprise Data (Microsoft Fabric): Defining and governing scalable enterprise data and integration architectures across Azure and business systems with an accent on data modeling, integration patterns, and governance. Focus on integrating AI/ML and GenAI capabilities into data products and designing continuity strategies across ERP and CRM platforms.

Location: Must be located anywhere in the United States

Company

hirify.global is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments.

What you will do

• Define Enterprise Data Architecture across Fabric, Data Lake, EDW, and analytics platforms.
• Design integration patterns for ingestion, transformation, and consumption, creating architectural flows and reference models.
• Establish standards for data modeling, metadata, lineage, and RBAC, ensuring compliance with security and regulatory standards.
• Integrate AI/ML models and GenAI capabilities into data products and workflows.
• Design business continuity and disaster recovery strategies across ERP, CRM, and analytics systems.
• Govern vendor deliverables by establishing quality gates and review cycles to ensure alignment with architectural standards.

Requirements

• 10+ years of experience in enterprise solution architecture, data engineering, and software development.
• Must be based in the United States.
• Hands-on expertise with Microsoft Fabric, Data Lake, Data Warehouse, and Data Pipelines.
• Advanced proficiency in DAX, Power Query, SQL, Python, and PySpark.
• Experience architecting ETL/ELT pipelines and working with SaaS/Cloud ERP or CRM systems (NetSuite, Salesforce, SAP S/4HANA).
• Degree in Computer Science, Information Technology, Management Information Systems, or Accounting.

Nice to have

• Exposure to Copilot, GenAI, LLMs, and prompt engineering.
• Familiarity with SDLC, Jira, Git, and CI/CD practices.

Culture & Benefits

• Inclusive environment valuing diversity of thought and perspectives.
• Recognized for excellence in engineering, diversity, compensation, and work-life balance.
• Relentless pursuit of innovation using cloud computing and AI.