Job Description

About the role:

The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making.

We are looking for a Principal Data Architect to lead our Product Intelligence data function and to bring your experience and vision in enterprise data architecture, data modeling, and team leadership. You will own the strategy for bringing together disparate, company-wide data sources into a single, unified data lake, and will lead, develop, and mentor a team of data engineers to deliver on that vision. This is a highly strategic role: you will translate telemetry and usage data into product-led insights that identify upsell opportunities, predict churn, and help the business meet its revenue targets, and you will regularly manage senior stakeholders and present your data strategy directly to C-level management. We’re looking for someone with a strong data background who also understands the strategic importance of building an AI-ready data foundation.

What you’ll do

- Own the enterprise data strategy and architecture, unifying disparate company-wide data sources into a single, unified data lake.
- Lead, develop,



and mentor a team of data engineers, providing technical direction, coaching, and supporting their career growth.
- Partner with Product Management and business stakeholders to translate product usage and telemetry data into product-led insights – identifying upsell opportunities, predicting churn, and supporting revenue targets.
- Manage senior stakeholders across the business and regularly present data strategy, insights, and recommendations to C-level management.
- Own the technical architecture for data warehousing, data lake design, data modeling, and data access patterns.
- Drive the design and evolution of the analytics layer, including semantic modeling and dashboarding within BI tools.
- Champion an AI-ready data strategy, ensuring our data foundations, models, and governance are structured to support future AI and advanced analytics use cases.
- Establish data engineering standards, best practices, and measurable quality indicators to ensure high-quality, maintainable code.
- Ensure scalability, reliability, and performance of data platforms, pipelines, and analytics workloads.
- Promote an agile, iterative engineering culture and actively contribute to team ceremonies.

📌 Principal Data Architect (Product Intelligence) (Madrid)
🏢 Nexthink
📍 Madrid