Principal Data Solutions Architect

Role Overview

Principal Data Solutions Architect at a growing consulting firm. This is a remote, client-facing role where you’ll lead enterprise data and AI architecture initiatives from discovery through production.

Responsibilities

• Lead discovery sessions and client workshops to uncover business needs and define solution direction
• Design scalable enterprise data and AI architectures connecting strategy to execution
• Guide delivery teams while staying hands-on for design decisions and troubleshooting
• Build and optimize modern data solutions using platforms such as:
  • Databricks, Snowflake, or Microsoft Fabric
• Move initiatives from concept/pilot to production-ready deployment
• Establish standards for governance, performance, scalability, and integration
• Partner with business and technical stakeholders to manage priorities, risks, and trade-offs

Requirements

• Strong experience with modern enterprise data platforms (Databricks, Snowflake, Fabric, or similar)
• Solid Python and SQL skills; experience in large, complex data environments
• Background in data engineering, analytics architecture, or solution design in enterprise settings
• Experience building cloud-based solutions in AWS, Azure, or similar
• Familiarity with AI/ML use cases, including generative AI, workflow automation, and data-driven applications
• Proven ability in client-facing consulting, workshop leadership, and translating business needs to technical solutions
• Strong communication skills to influence technical and non-technical audiences

Additional Notes

• Must be authorized to work in the United States on a permanent basis; no visa sponsorship.
• Compensation includes base salary, bonus, equity-style long-term incentives, and benefits.