Staff Engineer, Identity Platform & Data at Scale

Vibe; Paris (TX); Hybrid; USD 138.000 - 207.000; Vollzeit

Benefits dieser Stelle

Health insurance

Hybrid flexibility in Paris

Meal vouchers

Zusammenfassung

the company.co is seeking a Staff Software Engineer to lead the Identity squad on the Data Platform team in Paris. You’ll own identity resolution end-to-end, drive clustering at large scale, and shape architecture for a privacy-first future while partnering with product and analytics across the organization.

You’ll stay hands-on with algorithms and data pipelines, mentoring a senior engineer, and guiding initiatives that improve accuracy, performance, and cost efficiency in a fast-paced,

Qualifikationen

• 8+ years building and operating production ML or data systems.
• Hands-on experience with entity resolution, clustering, or graph problems.
• Strong distributed-systems foundations across Dagster, Spark, and Iceberg.
• Track record of building evaluation frameworks driving improvements.
• Experience managing performance and cost at large data scale.
• Strong cross-functional communication with diverse stakeholders.

Aufgaben

• Set the technical direction for the identity stack end to end.
• Design and build clustering pipelines that resolve identity at US scale.
• Make architecture decisions that scale economically and quantify impact.
• Drive systematic improvements to identity resolution accuracy.
• Lead the squad's senior engineer with 1:1s and career development.
• Represent identity in cross-team Data Platform roadmap decisions.

Kenntnisse

ML systems

Entity resolution

Distributed systems

Evaluation frameworks

Performance optimization

Cross-functional comms

Data platforms

Tools

Dagster

Spark

Iceberg

Jobbeschreibung

the company.co is seeking a Staff Software Engineer to lead the Identity squad on the Data Platform team in Paris. You’ll own identity resolution end-to-end, drive clustering at large scale, and shape architecture for a privacy-first future while partnering with product and analytics across the organization.

You’ll stay hands-on with algorithms and data pipelines, mentoring a senior engineer, and guiding initiatives that improve accuracy, performance, and cost efficiency in a fast-paced,