Data Solution Architect

Sarasota Home Office • Sarasota, FL

12h • Hybrid

About The Position

The Data Solution Architect is a senior or principal-level technical contributor responsible for architecting, designing, and hands-on development of enterprise data products and platform capabilities. Using Databricks, cloud-native technologies, and modern data engineering practices, the role defines scalable architecture patterns, develops reusable frameworks, and delivers data solutions for analytics, AI/ML, and operational workloads.

The position combines strategic technical leadership with active development. It establishes engineering standards and best practices, leads design reviews, mentors data engineers, and supports the ongoing improvement of engineering capabilities, platform maturity, and data product delivery. The role is based in Sarasota and is eligible for a hybrid work schedule, or may be located in the company's Southwest Regional office in Richardson, Texas.

Responsibilities

• Lead the architecture, design, and implementation of enterprise data products, lakehouse solutions, and shared platform capabilities using Databricks and cloud-native technologies.
• Define and evolve data product architecture standards, engineering patterns, and reusable frameworks across data, MDM, and business intelligence platforms.
• Design, develop, and maintain modern lakehouse architecture using Databricks, Delta Lake, PySpark, Databricks Workflows, Unity Catalog, Delta Sharing, and serverless compute capabilities.
• Contribute hands-on to solution design, code development, proof-of-concepts, architecture reviews, and resolution of complex technical problems.
• Establish engineering best practices for data modeling, software development, CI/CD, automated testing, observability, performance optimization, and platform operations.
• Develop and maintain scalable, high-performance data architectures, pipelines, and data models for analytics, reporting, AI/ML, and enterprise data product consumption.
• Provide technical guidance and mentorship through design reviews, code reviews, coaching, and knowledge-sharing initiatives.
• Ensure data products and platform components meet enterprise standards for security, governance, reliability, resiliency, and operational supportability.
• Design and implement data governance, data quality, metadata management, and security controls using Unity Catalog and other platform-native capabilities.
• Evaluate emerging technologies and architectural approaches, recommending solutions that balance business value, operational simplicity, scalability, and long-term sustainability.
• Identify and mitigate architectural, operational, and technical risks, and create roadmaps for the continued evolution of enterprise data platforms and products.
• Partner with architects and platform engineers to establish reusable data product patterns and accelerate delivery of trusted, governed, and discoverable data assets.

Benefits

• Competitive salaries
• Excellent benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed