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Principal Data Platform Architect

Job in Rexburg, Madison County, Idaho, 83440, USA
Listing for: Riskonnect, Inc.
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Why Join Us?

We explore ways to deliver new value, foster creativity, and reach beyond boundaries. We use drive and commitment to energize, engage, and inspire others. We do what is important and strive for continuous improvement, work with passion, and purpose. We act with mutual respect, communicate fearlessly, and collaborate to leverage our collective talents. At Riskonnect, we share this set of expectations and values.

They guide us every day in every way. These values are more than words – they unite our organization and bring meaning and purpose to what we do.

The Team

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.

Why This Role Matters

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.

The Opportunity

Riskonnect is seeking an experienced Principal Data Platform Architect to lead the technical architecture of our next‑generation enterprise data platform.

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…
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