Technical Architect - Enterprise Data (Microsoft Fabric)

Location: Remote, anywhere in the United States; the posting also lists Dallas, TX, United States.

Salary: Not specified.

Company

hirify.global provides client-to-cloud networking solutions for data centers, campuses, and routing environments, using cloud computing, artificial intelligence, and software-defined networking.

What you will do

• Define enterprise data architecture across Microsoft Fabric, data lakes, data warehouses, analytics platforms, and core business systems.
• Design integration patterns, architectural flows, reference models, and roadmaps for data ingestion, transformation, and consumption.
• Establish standards for data modeling, metadata, lineage, governance, validation, monitoring, logging, RBAC, security, confidentiality, and regulatory compliance.
• Drive platform reliability, performance tuning, cost optimization, data quality, operational excellence, and root-cause analysis.
• Define continuity and disaster-recovery strategies across ERP, CRM, data lake, Fabric, and analytics systems, including recovery procedures, documentation, audit requirements, and security considerations.
• Guide development and vendor teams, review user stories and deliverables, define quality gates and testing strategies, and integrate AI/ML and GenAI capabilities into data products and workflows.

Requirements

• 10+ years of experience in enterprise solution architecture, data engineering, and software development.
• Degree preferably in Computer Science, Information Technology, Management Information Systems, or Accounting.
• 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.
• Experience architecting ETL/ELT pipelines that integrate diverse data sources into Azure Data Lake and enterprise data warehouses.
• 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, and CI/CD.
• Experience with SaaS/cloud ERP or CRM systems, including NetSuite, Salesforce, or SAP S/4HANA.
• Excellent communication, stakeholder management, and problem-solving skills.

Culture & Benefits

• Remote work is available anywhere in the United States.
• Work in an inclusive environment that values diverse perspectives.
• Employment decisions follow equal opportunity and nondiscrimination principles.
• Employee information is handled confidentially according to EEO guidelines.