Founded in 2015 in Lyon, France, DataGalaxy is an innovative startup specializing in collaborative data governance.
Focused on usage, DataGalaxy offers the first agile data mapping platform, which enables teams to share a common knowledge of the company's data to stay focused on the essential: creating value with data.
DataGalaxy enables the rapid deployment of solutions to support regulatory compliance (GDPR, Solva2, ...), the implementation of a Data Catalog, or optimizing the performance of data teams (Data scientist, BI, Data steward, ...).

DataGalaxy

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machine-learning-engineer

DataGalaxy is a comprehensive data management and governance platform designed to streamline data access and utilization for businesses across various industries. It provides a robust Data Knowledge Catalog that includes features such as search and discovery, business glossaries, data lineage, technical diagrams, and more. With its AI-powered tools, DataGalaxy facilitates automated metadata management, multilingual support, and real-time data quality assessment. It supports over 70 connectors, including popular platforms like Snowflake, Databricks, and Power BI, making it versatile for different data environments. DataGalaxy serves multiple industries including finance, healthcare, retail, and manufacturing by offering solutions tailored to enhance decision-making, compliance, and data literacy. The platform emphasizes collaborative data governance and provides tools for effective AI governance, regulation compliance, and ESG reporting. Through its capabilities, DataGalaxy enables its users to drastically improve their data organization, sharing, and insight-driven processes, thereby fueling informed decision-making across organizations.

Founded in 2015 in Lyon, France, DataGalaxy is an innovative startup specializing in collaborative data governance. Focused on usage, DataGalaxy offers the first agile data mapping platform, which enables teams to share a common knowledge of the company's data to stay focused on the essential: creating value with data. DataGalaxy enables the rapid deployment of solutions to support regulatory compliance (GDPR, Solva2, ...), the implementation of a Data Catalog, or optimizing the performance of data teams (Data scientist, BI, Data steward, ...).

• Join the AI-Share team to help build and operate the foundations that power our Generative AI features (LLM, RAG, agents) inside the DataGalaxy data governance platform.
• This role focuses on MLOps / ModelOps delivery: making GenAI capabilities reliable in production (deployment, monitoring, cost control, traceability), while collaborating with product engineering teams across a polyglot stack.
• Contribute to the evolution of our **ModelOps platform** for GenAI: provider integrations, configuration, deployment automation, and operational tooling.
• Help implement practical patterns for running GenAI workloads in production: **evaluation**, **versioning**, **reproducibility**, safe rollouts/rollbacks, and environment management.
• Build and improve **CI/CD workflows** adapted to AI: packaging, automated checks, evaluation steps (when applicable), deployment, and rollback.
• Improve **traceability** of AI assets (configs, prompts/templates when applicable, evaluation outputs, versions) to support governance and debugging.
• Add and maintain **observability** for GenAI workloads: latency, availability, usage/cost signals, and quality-related indicators (dashboards/alerts).
• Develop and improve **GenAI features** within the platform (agent, RAG pipelines, MCP server): new capabilities, prompt engineering, bug fixes, and client-facing improvements.
• Work closely with Product / Data / Engineering to integrate GenAI capabilities into the platform in a maintainable way.
• Participate in code reviews, documentation, and post-incident follow-ups (RCA / action items), with guidance from the team.

Software Engineer – GenAI, MLOps, ModelOps

Software Engineer delivering MLOps solutions for Generative AI at DataGalaxy. Focusing on reliability and collaboration with product engineering teams in a hybrid environment.

engineering-manager

• 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.
• 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.
• 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.
• 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.
• 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.

Tech Lead – Engineering Manager, Connectivity & Ingestion

Lead the Scan Team at DataGalaxy, focusing on connectivity and ingestion for data governance. Drive architecture, hands-on development, and team leadership in a fast-growing startup.

account-manager

• Build and maintain strong relationships with C-Level, Executive Management, and various stakeholders within each account: understand their use cases, success metrics and monitor their project success.
• Create, drive and increase revenue within a dedicated accounts portfolio
• Develop account management plan for upsell and retention strategy
• Develop business in your accounts to meet your annual ARR growth target
• Suggest innovative solutions to meet customer needs.
• Coordinate customers’ testimonials and references to support the Account Executive team developing new business.

Account Manager, Customer Team

Account Manager responsible for building client relationships and increasing revenue at DataGalaxy. Focused on customer success in the data governance and AI strategy space.

risk

• Managing a client portfolio in collaboration with Account Managers:
• Support them on a daily in the use of the product
• Analyze and prioritize the needs
• Assist with implementation and best practices
• Ensure their loyalty to increase account revenue through upselling
• Answering *technical and product* questions to help clients get the most out of DataGalaxy
• Evaluating user experience and recommending improvements
• Contributing to strategic account committees.
• Auditing, analyzing, and documenting use cases to provide insights for Product, Marketing, Sales, and clients.
• Monitoring platform usage indicators (healthcheck) and customer satisfaction metrics to drive retention, account growth
• Collaborating with the Product team (customer feedback and requests)
• Creating and maintaining content, deliverables, and best practices
• Managing and animating the user community (User Groups on-site & virtual)

Data Governance Consultant

Data Governance Consultant engaged in managing customer relationships and delivering value at DataGalaxy. Focused on customer needs and enhancing the user experience with their data governance products.

DataGalaxy

About the company

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4 jobs found

Software Engineer – GenAI, MLOps, ModelOps

DataGalaxy

Tech Lead – Engineering Manager, Connectivity & Ingestion

DataGalaxy

Account Manager, Customer Team

DataGalaxy

Data Governance Consultant

DataGalaxy