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GitGuardian

Staff Data Engineer

GitGuardian

. Design and implement the end-to-end data architecture .

Posted 10/26/2026full-timeParis • FranceLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing end-to-end data architectures, building real-time systems, and mentoring engineering teams. Proficient in managing large-scale data pipelines and collaborating effectively across multiple technical domains.

Highest-signal resume keywords
Data Engineering ExperienceDistributed Systems ExpertiseAWS, Terraform, Docker, Kubernetes ProficiencyPython Coding ProficiencyExperience Mentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ArchitectureReal-Time ArchitecturesLarge-Scale Data PipelinesClickHouseElasticsearchOpenSearchAgentic SystemsLLM-Based ArchitecturesStreaming SystemsEvent-Driven Systems
Soft Skills
Excellent Communication SkillsOwnership MindsetMentoring AbilityCollaboration Skills
Tools & Technologies
AWSTerraformDockerKubernetes
Industry Keywords
High-Growth StartupsScale-UpsProduction Environments

Tech Stack

Tools & technologies
AWSDistributed SystemsDockerElasticSearchKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Design and implement the end-to-end data architecture
  • Build real-time systems from design through production deployment
  • Work hands-on on complex and critical technical challenges
  • Design monitoring, maintenance, and alerting systems around the data pipeline
  • Mentor engineers and raise the technical bar through code reviews and knowledge sharing
  • Structure engineering processes and facilitate collaboration across backend, ML, Data, and product teams
  • Contribute to the technical roadmap with the Engineering Manager and Product Manager
  • Ingest public data from GitHub and other sources
  • Identify the owning organization behind exposed secrets and analyze exposure impact
  • Evolve systems toward more agentic and real-time architectures
  • Redesign the multi-service architecture into a horizontally scalable and maintainable system
  • Extend the pipeline to Docker Hub, NPM, PyPI, and other public data sources
  • Build a search-oriented data architecture handling hundreds of millions of secrets
  • Scale the system to full dataset coverage

Requirements

What you’ll need
  • 7+ years of experience in data engineering, with a strong track record building and operating large-scale, production-grade data pipelines
  • Strong expertise in distributed systems and real-time architectures (streaming, event-driven systems)
  • Strong experience with AWS, Terraform, Docker, and Kubernetes in production environments
  • Strong experience with ClickHouse or similar large-scale analytical databases
  • Hands-on engineering mindset: ability to contribute directly to production code on critical systems, not just design
  • Proven experience redesigning or refactoring existing production architectures
  • Strong ownership mindset: proactively identify problems and drive solutions end-to-end
  • Experience mentoring engineers and raising the technical level of a team
  • Excellent communication skills and ability to work effectively with backend, ML, Data and Product teams
  • Fluent English in an international environment
  • Python coding proficiency
  • Data architecture skills
  • Experience with large-scale search systems (Elasticsearch, OpenSearch) is advantageous
  • Familiarity with agentic systems or LLM-based architectures applied to data pipelines is advantageous
  • Experience in high-growth startups or scale-ups is advantageous

Benefits

Comp & perks
  • Package that includes stock-options
  • Sponsored lunch vouchers (Swile)
  • Sponsored Wellpass (gymlib)
  • Non-charged health insurance for children (Sidecare / Generali)
  • Up to €300 to improve your home office set-up
  • Yearly holiday allowance
  • Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues
  • Hybrid remote policy: 3 days/week at the office in Paris
  • Full, company-wide access to cutting-edge AI tools
  • Opportunities for career development in the long term
  • Referral bonus of 4000€ for any new Guardian hired thanks to you