Microsoft
Cloud Solutions Architect - Azure Data & AI Solutions
$106K–$223K
Atlanta, GA +2 · On-site · Full-time · Posted Oct 27, 2026
- Location
- Atlanta, GA
Irving, TX
Charlotte, NC - Experience
- 4+ years; Bachelor's Degree in a listed field AND the specified experience, or equivalent experience.
- Education
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field, or equivalent experience.
- Visa sponsorship
- Not eligible for visa sponsorship; candidates must be authorized to work in the United States without requiring employer sponsorship now or in the future.
About the job
Leads customer and partner adoption of Databricks on Microsoft Azure by designing and delivering enterprise data, analytics, AI, and modernization solutions and resolving technical blockers.
What you'll do
- Advise customers, Databricks, and partners; lead architecture reviews, proofs of concept, and production deployments.
- Design, validate, and optimize enterprise-scale data and AI architectures, and guide implementation best practices.
- Collaborate across Microsoft and partner teams to drive adoption, Azure consumption, and customer outcomes.
What they ask for
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field, or equivalent experience.
- 4+ years experience in the listed cloud, IT, consulting, support, development, architecture, or related areas.
Nice to have
- Expertise in Databricks and modern Data & AI platforms, including enterprise Azure solutions; relevant certifications preferred.
- Experience in data platform modernization and customer-facing architecture, consulting, technical sales, customer success, or solution delivery.
Pay
USD $106,400 - $203,600 per year (base salary); USD $137,600 - $222,600 per year (base salary)
Tools
Databricks, Microsoft Azure, Azure Databricks, Microsoft Fabric, Azure Data Lake Storage, Azure Synapse Analytics, Azure AI Services, Azure Machine Learning
AI focus
Drives adoption and delivery of enterprise AI, machine learning, and Generative AI workloads using Azure and Databricks.
Model-written summary · the original posting is authoritative