Senior Data Engineer – Scale the Data Platform

About GitGuardian

GitGuardian is a global cybersecurity scale-up. The company is based in Paris, New York City, Boston.

Our early investors include Scott Chacon, co-founder of GitHub, and Solomon Hykes, co-founder of Docker, alongside leading US and European VC firms. We raised our Series C in early 2026.

GitGuardian leads the way in securing the credential layer, helping organizations protect the secrets that let code, machines, and AI agents access systems with broad detection, identity context, and remediation at scale. Already trusted by 600K+ developers worldwide and by 50 of the Fortune 500

About Your Team And Your Mission

As a Senior Data Engineer, you will join a team of 3 passionate and highly-skilled engineers who are pivotal to GitGuardian's growth and success. Our team's scope is uniquely broad, encompassing the entire data lifecycle—from ingestion and transformation to delivering critical business insights and enhancing our product with data-driven features. You'll be at the crossroads of Business Intelligence and Product development, with a direct impact on our company's trajectory.

Your Main Responsibilities Will Be To:

Design, build, and maintain our data platform, ensuring its scalability, reliability, and performance to meet the demands of a high-growth environment.

Develop and optimize robust ELT pipelines, leveraging tools like Fivetran and Airbyte for standard sources and building custom connectors where needed, to ingest data from a wide variety of sources including PostgreSQL, Elasticsearch, and third-party APIs (e.g., Hubspot, GitLab, Notion).

Architect and implement sophisticated data models in our Snowflake data warehouse, transforming raw data into clean, business-ready tables that serve as the single source of truth.

Collaborate on impactful business projects, working closely with stakeholders across Sales, Marketing, and Product to understand their needs and deliver data solutions that drive strategic decisions.

Power our customer-facing analytics, developing and exposing data within the GitGuardian product to provide our users with valuable insights.

Champion data quality and governance across the organization, establishing best practices and ensuring the integrity of our data assets.

Mentor and guide other engineers, sharing your expertise and contributing to the continuous improvement of our team's skills and processes.

Technical Environment

Core Languages

Python, SQL

Data Warehouse

Snowflake

Orchestration & Deployment

Dagster, Kubernetes, Docker, Terraform

Data Ingestion

Fivetran, Airbyte, custom scripts

Data Visualization

Metabase

Data Sources

PostgreSQL, Elasticsearch, various APIs

About You

Here's what we consider essential for success in this role:

• 5+ years experience in data engineering, with a proven track record of building and managing complex data platforms in a cloud environment.
• Expert-level proficiency in Python and SQL; you are comfortable writing clean, efficient, and production-ready code.
• A comprehensive understanding of modern data architectures, including data warehousing, data modeling, and ETL/ELT best practices.
• Hands-on experience with our core technologies or their equivalents (e.g., Airflow instead of Dagster; Redshift or BigQuery instead of Snowflake).
• A strong business sense and the ability to translate complex business requirements into technical solutions that have a tangible impact.
• A proactive and ownership-driven mindset, with a passion for solving challenging problems and driving projects from conception to completion.
• Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.

The following skills would strengthen your application but aren't required:

• Previous experience in a high-growth B2B SaaS or cybersecurity company.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Knowledge of Infrastructure as Code (e.g., Terraform).

Interview process

At GitGuardian, we are committed to building a diverse, equitable and inclusive workforce.

We will ask for your gender identity on the application page to help us understand the diversity of our applicant pool and to track our progress in attracting and hiring a diverse workforce. The information is optional and will not be disclosed to the hiring manager or the interview team and will not be considered in the hiring process. We appreciate your willingness to share this with us so that we can continue to improve our diversity, equity and inclusion efforts.

• Interview with your future manager (60 minutes)

Interview 1: