Senior Data Engineer, GitGuardian

• 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

Desirable

• 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
• 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

• 1. Interview with your future manager (60 minutes)
• Purpose: To align on your experience, working style, and your high-level approach to data architecture and data modeling. This is a chance to discuss technical philosophy and ensure your vision matches the team's direction
• Skills Assessed: We assess your soft skills (ownership, communication), motivation, and your high-level system design and architectural thinking
• 2. Technical interview (60 minutes)
• Purpose: To validate your hands-on technical skills through practical coding exercises and operational scenarios. We want to see how you write code, optimize queries, and troubleshoot real-world problems
• Skills Assessed: Your Python coding proficiency, advanced SQL skills, and debugging abilities. We will focus on your approach to writing clean, efficient code and handling operational failures
• 3. Final interview with an Executive Manager (30 minutes)
• Purpose: To ensure your vision and working style align with GitGuardian's broader company strategy and values
• Skills Assessed: Your high-level business acumen, strategic thinking, and cultural alignment. We want to understand your potential long-term impact on the company