Principal Data Platform Architect

Riskonnect is building a unified enterprise data platform that will power reporting, advanced analytics, connected risk intelligence, and AI across a portfolio of market-leading SaaS products. This role offers the opportunity to shape the architecture, standards, and technical direction of a platform that will become foundational to the company’s next generation of products., This leader will own the ongoing evolution of Riskonnect’s enterprise data platform. Building on an established architectural foundation, the Principal Data Platform Architect will refine architecture, engineering standards, and implementation patterns as the platform expands across multiple SaaS products. This role will ensure the platform remains scalable, secure, performant, and ready to support advanced analytics, Connected Risk Intelligence, and future AI capabilities.

Working closely with Engineering, Enterprise Architecture, Product Management, Data Engineering, and Analytics teams, this role will provide technical leadership for the ongoing evolution of Riskonnect’s enterprise data platform. The Principal Data Platform Architect will drive architectural consistency across product teams, evolve shared platform capabilities and engineering standards, and help engineering organizations deliver trusted, secure, scalable, and AI-ready data solutions while preserving the flexibility required by individual SaaS products.

This is a hands-on architecture leadership role. The Principal Data Platform Architect will guide architecture decisions, mentor engineering teams, evaluate emerging technologies, and partner closely with product engineering to ensure successful delivery of enterprise data capabilities.

This role focuses on the architecture and evolution of Riskonnect’s enterprise analytics, reporting, business intelligence, and AI data platform. While the platform ingests and transforms data from operational applications, the primary responsibility is defining the scalable data architecture, semantic models, governance, and engineering patterns that enable trusted analytics and AI across the Riskonnect portfolio. This role partners closely with product engineering teams but is not responsible for the design of transactional (OLTP) application architectures.

Success in this role depends on enabling multiple autonomous engineering teams to deliver consistently through shared architecture, engineering standards, and technical leadership.

Essential Functions / Responsibilities Include

• Own the enterprise data platform architecture and long-term technical direction.
• Evolve and maintain enterprise standards for data ingestion, storage, transformation, semantic modeling, governance, security, and analytics.
• Refine and expand reusable architecture patterns and reference implementations across multiple SaaS product teams.
• Partner with Enterprise Architecture on roadmap and technology strategy.
• Lead architecture for Microsoft Fabric, OneLake, Lakehouse architecture, Bronze/Silver/Gold models, semantic models, Power BI, and AI-ready data services.
• Establish architectural guidance for CDC, streaming, ELT, metadata, lineage, data quality, governance, and lifecycle management.
• Lead enterprise logical and physical data modeling, including Star and Snowflake schemas.
• Design scalable multi-tenant architectures supporting customer-specific schemas, custom fields, identity federation, Row-Level Security, and tenant isolation.
• Drive architectural governance by reviewing major solution designs, ensuring adherence to enterprise standards, and balancing consistency with product team autonomy.
• Partner across Product Engineering, Product Management, DevOps, Security, Analytics, and Customer Success.Ensure the platform enables future AI capabilities including RAG, semantic search, vector-ready architectures, and AI-ready datasets., * Mature the enterprise data platform for adoption across additional product teams.
• Accelerate delivery of trusted analytics, reporting, and AI capabilities through reusable platform services.
• Improve platform scalability, operational efficiency, governance, and cost optimization.
• Reduce onboarding effort for new products and customer-specific configurations.Advance the enterprise data architecture to support the next generation of Connected Risk Intelligence and AI capabilities.

• 12+ years designing enterprise data platforms.
• 5+ years leading cloud data architecture.
• Deep expertise in dimensional data modeling and SQL.
• Experience with scalable SaaS architectures, CDC technologies, and large-scale data pipelines.
• Strong knowledge of cloud security, governance, and enterprise analytics platforms.
• Ability to influence cross-functional engineering teams without direct authority.Excellent communication skills with both technical and executive audiences.

Preferred Experience

• Microsoft Fabric
• OneLake
• Power BI
• Azure Data Services
• Informatica
• Salesforce
• SQL Server
• MySQL
• Oracle
• Azure DevOpsGitHub

Pulled from the full job description

• Opportunities for advancement

Teamwork is the heart of Riskonnect. We thrive on collaboration, believing it’s the key to our growth and innovation in risk management. We encourage feedback, offer advancement opportunities, and support continuous learning. Join us to experience a culture that values teamwork and embraces a collaborative mindset, where your success is our success., At Riskonnect, innovation starts with our people. We’re a fast-growing, global team of 1,500+ dedicated professionals who bring bold thinking, a collaborative mindset, and a shared commitment to helping organizations manage risk with confidence.

You’ll work alongside some of the most talented individuals in the industry, united by a purpose to help customers solve their most complex risk challenges through cutting-edge technology and world-class service.

Our culture of excellence has earned us consistent recognition, including:

• Best and Brightest Companies to Work For (Nationwide) - 7 years
• Best and Brightest Elite Award Winner - 1 year
• Business Insurance Best Places to Work - 2 years
• Great Place to Work® Certified - United Kingdom - 2 years
• Great Place to Work® Certified - India - 1 year

We’re proud of these honors, but even more proud of the people who made them possible. Ready to be part of something meaningful? Join us.