Azure AI & Data Architect — Enterprise Solutions Leader

SPECTRAFORCE

Charlotte (NC)

On-site

USD 140,000 - 180,000

Full time

40 hours ago
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Job summary

SPECTRAFORCE is seeking an AI & Data Analytics Architect to design and guide enterprise-wide AI, data analytics, and data architecture initiatives, primarily in the cloud. You will translate business goals into scalable, secure data and AI architectures and guide implementation teams on best practices and cost decisions.

Responsibilities include creating end-to-end data pipelines, leveraging Azure services, and integrating AI/ML models while ensuring governance and security.

Qualifications

  • 10+ years in database modelling, development and analytics.
  • 4+ years in cloud-based data/analytics architectures (Azure preferred).
  • 1–2 years implementing AI solutions.
  • Strong communication bridging technical and non-technical stakeholders.
  • Proficiency in Azure data stack, ETL, and analytics.

Responsibilities

  • Architect and guide enterprise AI and data analytics initiatives.
  • Design end-to-end data pipelines and analytics architectures (batch/real-time).
  • Integrate AI/ML models into data solutions using Azure ML and LLM services.
  • Ensure data security, governance, and compliance across solutions.
  • Collaborate with leadership and delivery teams; mentor others.

Skills

10+ years experience
AI & Data Analytics
Azure cloud
Data governance
Stakeholder communication
MLOps
Security/compliance

Education

Bachelor's degree

Tools

Azure SQL Database
Azure SQL Managed Instance
SQL Server
SSIS
Azure Machine Learning
Foundry

Job description

SPECTRAFORCE is seeking an AI & Data Analytics Architect to design and guide enterprise-wide AI, data analytics, and data architecture initiatives, primarily in the cloud. You will translate business goals into scalable, secure data and AI architectures and guide implementation teams on best practices and cost decisions.

Responsibilities include creating end-to-end data pipelines, leveraging Azure services, and integrating AI/ML models while ensuring governance and security.

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