Azure Solution Architect - Data & AI
J
JobgetherData and AI consulting
Fully remote, US-based opportunity, US time zonesFull-TimeSenior
SalaryAnnual on-target earnings: $180,000–$230,000, including base salary and performance-based bonus, with an 80/20 base-to-bonus ratio.
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Job Details
- Languages
- Excellent written and verbal English communication skills
- Experience
- At least 8 years of experience designing, architecting, and delivering Microsoft data and analytics solutions
- Required Skills
- PythonSQLMicrosoft AzureDatabricksGitHubAzure DevOpsPySpark
Requirements
- At least 8 years of experience designing, architecting, and delivering Microsoft data and analytics solutions.
- End-to-end implementation experience using Azure, Microsoft Fabric, or Databricks.
- Strong proficiency in PySpark, SQL, Python, ETL/ELT processes, and software or data engineering principles.
- Hands-on experience with scalable lakehouse architectures and medallion models.
- Experience with Data Vault or dimensional data modeling.
- Knowledge of Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake Storage, and related cloud data services.
- Experience implementing CI/CD pipelines and automation using Azure DevOps and GitHub.
- Knowledge of production governance, performance tuning, and cost optimization.
- Demonstrated ability to lead project teams, review technical work, maintain delivery standards, and mentor engineers and consultants.
- Experience supporting technical sales, solution scoping, proposal development, statements of work, and client-facing presentations.
- Excellent written and verbal English communication skills.
- Must be based in the United States and available to work with teams and clients across US time zones.
- Preferred: Microsoft Cloud certifications in Fabric, Azure Data Engineering, or Azure Architecture; a bachelor's degree in a related field; experience delivering production AI/ML solutions or leading enterprise data modernization initiatives.
Responsibilities
- Lead discovery, architecture, design, development, and production deployment of data and AI solutions using Microsoft Azure, Microsoft Fabric, and Databricks.
- Translate client business objectives into scalable, reliable, and governed technical architectures.
- Lead solution design, technical scoping, proposal development, statements of work, and client presentations.
- Establish architecture patterns, engineering practices, CI/CD standards, and governance frameworks.
- Develop data platform solutions using lakehouse architectures, medallion models, Data Vault, and dimensional modeling.
- Guide data engineers and consultants by assigning responsibilities, reviewing deliverables, and providing technical feedback.
- Manage project milestones, budgets, risks, quality, and customer satisfaction.
- Apply production governance, performance optimization, automation, and cost management practices.
- Communicate project progress, technical decisions, risks, and recommendations to business and technical stakeholders.
- Contribute to cloud offerings, delivery methodologies, and technical practices.
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