Job Overview
Location
Geneva
Job Type
Full-time
Category
Software Engineering
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Own the end-to-end lifecycle of data products as a product, from schema design and dbt SQL modeling to executive storytelling and data governance.
- • Serve as the primary data steward for your product domain, bridging technical infrastructure with business outcomes and ensuring data reliability across AI code review systems.
- • Design and maintain event-based data schemas that capture user interactions with SonarQube, SonarSweep, and Sonar Context Augmentation to enable accurate product analytics.
- • Build and optimize dbt models to transform raw event data into clean, reusable datasets that power product decisions, dashboards, and KPI tracking.
- • Collaborate with product managers, engineers, and customer success teams to define key metrics and success criteria for AI-assisted code verification features.
- • Translate complex technical data into clear, actionable insights for non-technical stakeholders, including executive summaries and data-driven recommendations.
- • Lead end-to-end analytical projects—from framing business questions and sourcing data to delivering final insights that influence product roadmaps and customer outcomes.
- • Govern data quality and lineage across product data pipelines, ensuring consistency and trust in metrics used by Fortune 100 customers like Goldman Sachs, Nvidia, and Ford.
- • Drive data literacy initiatives across the product team to empower non-analysts to self-serve insights and make informed decisions using Sonar’s data infrastructure.
- • Work closely with engineering teams to improve event tracking and data collection practices, ensuring that product usage and AI agent behavior are accurately captured.
- • Monitor and analyze adoption, performance, and reliability metrics of Sonar’s AI code verification tools to identify opportunities for improvement and customer value enhancement.
- • Use data to quantify the impact of Sonar’s products on reducing outages caused by AI-generated code, supporting customer success and sales narratives with evidence-based metrics.
- • Maintain documentation for data models, definitions, and ownership to ensure transparency and scalability as the product team grows globally.
- • Partner with cross-functional teams in Austin, Bochum, Dubai, London, Singapore, Tokyo, and Washington D.C. to align on data standards and product goals.
- • Contribute to the company’s CODE values by being Committed to customers, Obsessed with quality, Deliberate in decisions, and Effective as one team.
🎯 Requirements
- • Proficient in dbt and SQL for data modeling and transformation
- • Experience designing and governing event-based data schemas for SaaS products
- • Proven ability to lead end-to-end analytical projects from conception to executive delivery
- • Strong communication skills to translate technical data into business insights for non-technical audiences
🏖️ Benefits
- • Opportunity to work at the forefront of AI-driven software development with Fortune 100 customers
- • Global team collaboration across hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C.
- • Profitable, fast-paced company with over $400M in revenue and strong growth trajectory
- • Culture rooted in CODE values: Committed to customers, Obsessed with quality, Deliberate in decisions, Effective as one team
Skills & Technologies
About SonarSource SA
SonarSource SA is a Swiss software company founded in 2008 that develops the SonarQube, SonarCloud and SonarLint code quality and security platforms. Its static analysis engines detect bugs, code smells and security vulnerabilities in 30+ programming languages, providing developers and DevOps teams with continuous inspection that integrates into CI/CD workflows. The company offers both open-source and commercial editions, serving enterprises, government agencies and open-source communities worldwide to improve code maintainability, reliability and security across millions of projects.
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