Data Solution Architect

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

In addition to solution delivery, this individual mentors junior engineers, leads design reviews, establishes engineering standards, and drives adoption of best practices across data modeling, software engineering, CI/CD, testing, observability, and platform operations. The role balances strategic technical leadership with active participation in development to improve the organization's engineering capabilities, platform maturity, and data product delivery outcomes.

Key Responsibilities:

• Lead the architecture, design, and implementation of enterprise data products, lakehouse solutions, and shared platform capabilities utilizing Databricks and cloud-native technologies.
• Define and evolve data product architecture standards, engineering patterns, and reusable frameworks that improve scalability, maintainability, reliability, and delivery velocity across the data, MDM and business intelligence platforms.
• Design, develop, and maintain modern lakehouse architecture leveraging Databricks, Delta Lake, PySpark, Databricks Workflows, Unity Catalog, Delta Sharing, and serverless compute capabilities.
• Serve as a hands-on technical contributor by actively participating in solution design, code development, proof-of-concepts, architecture reviews, and complex technical problem resolution.
• Establish and drive engineering best practices across 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 that enable analytics, reporting, AI/ML, and data product consumption across the enterprise.
• Provide technical guidance and mentorship to data engineers through design reviews, code reviews, coaching, and knowledge-sharing initiatives that elevate overall engineering proficiency and technical maturity.
• 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 utilizing Unity Catalog and other platform-native capabilities.
• Evaluate emerging technologies and architectural approaches, recommending pragmatic solutions that balance business value, operational simplicity, scalability, and long-term sustainability.
• Identify and mitigate architectural, operational, and technical risks while creating roadmaps that support the continuous evolution of enterprise data platforms and products.
• Partner with architects, and platform engineers to establish reusable data product patterns and accelerate the delivery of trusted, governed, and discoverable data assets.

Position is based in Sarasota and is eligible for our hybrid work schedule or can be located in our Soutwest Regional office in Richardson, TX.

In exchange for your talents, FCCI offers competitive salaries and an excellent benefits package.

The salary range for this position is $134,276-$206,786 annually. This salary range is an estimate and the actual salary will vary based on applicant’s education, experience, knowledge, skills, and abilities. 

We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

Please apply via our website at www.fcci-group.com.     

Qualifications Experience Required * Bachelor’s degree in Computer Science, Information Systems, Software Engineering or a related technical discipline. * Ten or more years of experience in data engineering, software engineering, or data platform development. * Five or more years of hands-on experience designing and implementing cloud-native data platforms using Databricks and modern lakehouse architecture. * Proven experience architecting, developing, and operating enterprise-scale data products, data pipelines, and shared platform capabilities. * Strong experience with Databricks, Apache Spark, Delta Lake, Unity Catalog, Databricks Workflows, and modern data engineering patterns. * Demonstrated expertise in data modeling, data integration, data governance, metadata management, and data quality frameworks. * Strong proficiency in Python, SQL, and distributed data processing technologies. * Experience establishing engineering standards and best practices across CI/CD, automated testing, observability, reliability, and platform operations. * Experience mentoring engineers through architecture reviews, code reviews, and knowledge sharing. * Strong understanding of cloud computing platforms and cloud-native architecture principles. * Experience evaluating technical tradeoffs and balancing scalability, maintainability, performance, security, and cost. * Strong problem-solving and decision-making skills with the ability to influence technical direction across multiple teams. Preferred * Experience building and enabling AI/ML platforms, MLOps capabilities, or data products that support advanced analytics and machine learning workloads. * Experience within the commercial Property & Casualty (P&C) insurance industry. * Databricks certifications and cloud platform certifications (Azure, AWS, or GCP). * Experience with Infrastructure as Code, DevOps practices, and platform automation. * Experience with dbt, data cataloging, data governance, and data observability solutions. * Exposure to streaming architecture, CDC patterns, event-driven processing, and real-time analytics platforms. * Experience with MDM solutions such as Lake Fusion, Verato. * Experience with BI solutions such as Power BI, Cognos and Sigma. Equal Opportunity Employer
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