Azure Solution Architect - Data & AI

We are seeking a senior technical leader to design and deliver modern data and artificial intelligence solutions using Microsoft Azure, Microsoft Fabric, and Databricks. In this role, you will translate complex business requirements into scalable, secure, and governed data architectures that drive measurable business outcomes. You will lead client engagements from discovery and solution design through implementation and production deployment, while supporting presales activities and strategic solution development. Working closely with clients, data engineers, and consultants, you will provide technical direction, mentor delivery teams, and maintain high standards of quality and customer satisfaction. You will also help shape cloud delivery practices, engineering standards, and innovative data platform solutions. This is a fully remote, US-based opportunity for an experienced architect who combines deep technical expertise with strong consulting, leadership, and communication skills.

• Professional experience: At least 8 years of experience designing, architecting, and delivering Microsoft data and analytics solutions, including end-to-end implementations using Azure, Microsoft Fabric, or Databricks.

• Data engineering expertise: Strong proficiency in PySpark, SQL, Python, ETL/ELT processes, and software or data engineering principles.

• Modern data architecture: Hands-on experience with scalable lakehouse architectures, medallion models, and Data Vault or dimensional data modeling.

• Microsoft Azure technologies: Knowledge of Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake Storage, and related cloud data services.

• DevOps and automation: Experience implementing CI/CD pipelines and automation using Azure DevOps and GitHub, along with knowledge of production governance, performance tuning, and cost optimization.

• Technical leadership: Demonstrated ability to lead project teams, assign and review technical work, maintain delivery standards, and mentor engineers and consultants.

• Consulting and presales: Experience supporting technical sales, solution scoping, proposal development, statements of work, and client-facing presentations.

• Stakeholder communication: Excellent written and verbal English communication skills, with the ability to explain complex technical concepts, align stakeholders, and communicate risks and recommendations effectively.

• Preferred certifications: Microsoft Cloud certifications in Fabric, Azure Data Engineering, or Azure Architecture.

• Preferred education: Bachelor’s degree in a related field.

• Additional preferred experience: Experience delivering production AI/ML solutions or leading enterprise data modernization initiatives.

• Location and availability: Must be based in the United States and available to work with teams and clients across US time zones.