Software Architect - Data Platform

About the role

About Us

Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

About The Position:

As the Data Architect for the G-P Data Platform, you will be responsible for defining and driving the execution of our target-state, Databricks-native architecture across our data platform. This role balances strategic technical leadership with hands-on technical execution, ensuring our engineering investments align directly with customer expectations and our long-term technology vision.

Reporting into the Architecture team, you will work in close partnership with Product Management, Cloud Operations, Business Operations, and cross-functional engineering squads. You will act as a trusted technical advocate and mentor, driving platform consistency, lowering total cost of ownership (TCO), and further enhancing our world-class data analytics and reporting capabilities.

What You Will Do:

- Target-State Architecture: Design and drive the execution of a scalable, cloud-native target-state architecture across the end-to-end software platform.

- Ingestion architecture: Define architectural patterns for scalable automated data ingestion

- Hands-on Execution & PoCs: Deliver hands-on proof-of-concepts (PoCs) alongside engineering teams using SQL, PySpark, Serverless Python or other platform languages to validate design decisions.

- Governance & Consistency: Drive architecture consistency across all platform components to harmonize integration, maximize component reuse, and eliminate technical debt. Act as an SME for data governance designs and implementation.

- Security & Compliance: Define and enforce data platform security standards and infrastructure security to prevent platform and data breaches.

- Product & Business Alignment: Partner with Product Management to define our application analytics strategy and gain a deep business understanding of aligned domain areas.

- Technology Innovation: Serve as the strategic sounding board for validating and introducing new technologies, open-source solutions, and 3rd-party applications.