Experteer OverviewIn this Technical Lead role, you will own the design, implementation, and evolution of the Enterprise Data Platform built on Databricks. You’ll partner with the Product Owner to convert priorities into scalable solutions, set engineering standards, and lead a Scrum team. You’ll actively build platform capabilities and govern data assets to enable self‑service analytics, AI/ML, and enterprise reporting. This is a hands‑on leadership position that drives architecture and delivery in a fast‑growing environment.Compensaciones / BeneficiosAct as technical leader of the Enterprise Data Platform Scrum TeamPartner with Product Owner to translate business priorities into technical solutionsDrive technical decisions and establish platform standardsDefine architecture principles, engineering practices, and implementation patternsLead design reviews and ensure consistency across platform componentsDesign, develop, and maintain core platform capabilities on DatabricksBuild ingestion, transformation, orchestration, and data sharing solutionsImplement and optimize data pipelines using Spark, PySpark, SQL, and Databricks-native servicesDesign and implement data products and reusable platform servicesContribute directly to platform development activities and proof-of-conceptsImplement governance‑by‑design using Unity Catalog, metadata, lineage, and access controlsDefine standards for data quality,



lifecycle management, and schema evolutionEnsure secure and governed access to enterprise data assetsCollaborate with Security and Data Governance stakeholders to enforce complianceMentor future Data Engineers joining the teamEstablish engineering standards and best practicesSupport recruitment and technical assessment of future team membersResponsabilidadesBachelor or Master degree in Computer Science, Engineering, Information Systems, or related field7-10 years total experience3-5 years as Tech Lead on Databricks and Unity CatalogStrong hands‑on experience with Databricks in production environmentsExperience with Spark, PySpark, SQL, and modern data engineering practicesExperience designing and building cloud‑native data platforms on AzureExperience implementing Delta Lake, Unity Catalog, Databricks Workflows, and data governance controlsExperience building scalable batch and streaming data pipelinesStrong understanding of data products, metadata management, lineage, and platform governanceAbility to balance strategic thinking with hands‑on deliveryRequisitos principalesFlexible remote work optionsEmployee wellbeing programsProfessional development opportunitiesDiverse and inclusive cultureWorld‑class learning platformsCompetitive benefitsTechnical Lead, Data Platform - Barcelona, Kingdom Of Spain, ES#J-18808-Ljbffr

📌 Lead Data Platform Engineer — Databricks & Governance (Madrid)
🏢 Fresenius Kabi Deutschland
📍 Madrid