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Microsoft Azure Cloud and Enterprise Data Architect

Job in Lafayette, Lafayette Parish, Louisiana, 70595, USA
Listing for: @ CGI
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80600 USD Yearly USD 80600.00 YEAR
Job Description & How to Apply Below

Microsoft Azure Cloud and Enterprise Data Architect

@ CGI

Position

Description:

The Microsoft Azure Cloud and Enterprise Data Architect will lead the design and implementation of enterprise-scale cloud and data solutions. This role requires deep technical expertise, strategic thinking, and strong communication skills to translate business needs into robust technical architectures. This role requires US Citizenship.

The preferred location for this role is Lafayette, LA, however this position can also be filled out of Belton, TX, Lebanon, VA or Knoxville TN (Hybrid role)

Your future duties and responsibilities:

  • Design and implement cloud and hybrid infrastructures, enterprise solution architectures, and data pipelines.
  • Ensure compliance with data security, governance, and regulatory requirements.
  • Collaborate with cross-functional teams to align technical solutions with business objectives.
  • Provide consultative guidance and technical leadership across projects.
  • Optimize performance and scalability of cloud-based systems and data platforms.

Salary Range: $80,600.00 - $

Qualifications:

Required qualifications to be successful in this role:

  • BA/BS/MS in Computer Science, Engineering, or equivalent experience.
  • 5+ years as a Solution Architect and prior experience in technical roles (developer, systems analyst).
  • Expertise in Azure cloud architecture, SQL/No

    SQL databases, serverless and containerized services.
  • Strong knowledge of Big Data, advanced analytics, and reporting/dashboarding.
  • Experience with Data Governance, Data Engineering, Data Science, and MLOps.
  • Excellent communication and consultative skills.

Desired qualifications/non-essential skills required:

  • Hands-on experience with structured and unstructured data management.
  • Familiarity with machine learning and AI-driven analytics.
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