Tech Lead/Engineering Manager - Team Scan (Remote - France)

Since day one, DataGalaxy has been guided by a simple conviction: data creates value when people align on it, adopt it, and turn it into business outcomes. Metadata is not the destination. It is the foundation that makes this possible. That’s why DataGalaxy built the value governance platform, a business-first approach that connects data and AI strategy to execution, IT teams to business teams, and metadata to business outcomes. The platform includes two core products: DataGalaxy Catalog and DataGalaxy Portfolio Center. Catalog is a metadata center to provide context, build trust, and ensure compliance. Portfolio Center is a product management tool to show value creation from initiatives and champion alignment from C-levels to business stakeholders. Founded in France and rapidly expanding across Europe and the United States, DataGalaxy is trusted by over 200 global enterprises, including Dior, Airbus, and SwissLife. The company is committed to driving data culture and literacy by helping organizations deliver metadata to the agents and value to the people. The role Lead the Scan Team, responsible for the connectivity and ingestion layer of DataGalaxy. This scope is a core part of the product: it’s how our clients connect their systems (data platforms, BI tools, catalogs, warehouses, SaaS apps, etc.) to our data governance platform. We’re looking for a hands-on technical lead who can drive architecture and delivery, and support a small team with high ownership. People management is limited, but leadership, communication, and a reliability mindset are important. You don’t need to tick every box - we value ownership, a learning mindset, and the ability to work collaboratively. Key responsibilities Technical leadership & ownership Own the Scan domain technical direction: connector architecture, ingestion reliability, scalability, and maintainability. Contribute directly with hands-on development (you will code regularly). Lead design reviews and establish shared practices (quality, testing, observability, maintainability). Turn product needs into clear technical plans, align stakeholders, and deliver iteratively. Connectors & ingestion engineering (core scope) Build and maintain connectors integrating with third-party REST APIs and platforms (OAuth2/API keys, pagination, rate limits, retries, webhooks when relevant). Design reliable ingestion flows: incremental sync, idempotency, backfills, error recovery, reconciliation, and safe schema evolution. Normalize and map external data models into DataGalaxy’s internal model with good data quality and consistency. Desktop tooling for connectors Maintain our desktop application written in Kotlin used for connector development/operations (configuration, debugging, validation workflows, diagnostics). Improve developer and operator experience: packaging, configuration, troubleshooting, and usability. Quality, reliability & operations Apply and promote testing practices (unit/integration; contract tests where relevant). Improve observability (logs/metrics/traces), monitor connector health, and lead investigations for production issues. Manage technical debt: refactoring, dependency upgrades, CI/CD improvements. Team leadership (light management, strong leadership) Support the team’s growth through mentoring, pairing/mob sessions, and constructive feedback. Lead PR reviews and help the team make sound trade-offs. Coordinate with other squads when changes touch .NET services or Angular UI.

Requirements

Must-have skills Kotlin ecosystem & build tooling Proven experience building backend services with Kotlin . Hands-on experience with Maven in production projects (multi-modules, dependency management, build/release pipelines). Integration engineering Experience integrating external REST APIs and third-party platforms with real-world constraints. Good foundations in system design for reliability: resilience patterns, idempotency, consistency, performance, and operability. Engineering fundamentals Solid understanding of SQL and relational databases (schema design, indexing, migrations, performance). Comfortable with Git workflows and collaborative code reviews. Experience applying testing practices and writing maintainable, testable code. Comfortable working with cloud/production constraints (deployments, monitoring, incident/debug workflow). Proficiency in English. Nice-to-have Data & platform ecosystem Familiarity with the data domain (warehouses/lakes, catalogs, orchestration) and governance concepts. Experience integrating data platforms such as Databricks (and/or similar ecosystems: Snowflake, BigQuery, Redshift, etc.). Understanding of metadata, lineage, schemas, and common enterprise data integration patterns. Full-stack / platform breadth Comfortable working with AI-assisted development tools (e.g. coding agents, copilots) as part of your daily workflow, and open to evolving your practices as these tools mature. Experience building desktop applications in Kotlin (JavaFX Apply tot his job Apply To this Job