OverviewCompruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación.In this remote role you guide the design and delivery of enterprise data platform solutions on Azure Databricks for a major client, within the Development team. You help shape modern Lakehouse architectures and governance, collaborating with cross‑functional groups to scale data workloads and ensure secure, automated deployments. You’ll optimize Spark workloads, implement CI/CD for Databricks, and support migration from legacy data platforms. This role offers impact across governance, security, and real‑world analytics at scale in an international environment. You will join a mission‑driven, enterprise‑grade IT services provider delivering high‑value data solutions.Compensaciones / Beneficioscompetitive remunerationremote work optionfull benefits packageResponsabilidadesCollaborate with Data Platforms and Integration teams to architect and implement scalable enterprise data platform solutions using Azure Databricks and related Azure servicesDesign and develop data engineering frameworks for batch, streaming, ELT/ETL, and real-time analytics workloadsAdminister Azure Databricks workspaces: cluster config, job scheduling, Unity Catalog, secret management, and workspace governanceDefine and implement enterprise security architecture: Azure AD integration, RBAC, PIM, encryption, private networking, Key VaultEstablish data governance standards with Unity Catalog: data lineage, metadata management, access policies,



auditsDeploy and configure CI/CD pipelines with Azure DevOps and DAB; IaC with Terraform/Bicep; automate deployments and environment promotionOptimize Databricks workloads: performance tuning, Spark optimization, partitioning, Delta optimization, Photon, cost controlDesign monitoring and operational dashboards using Azure Monitor, Log Analytics, Application Insights and Databricks system tablesDevelop reusable architecture patterns, development standards, naming conventions, and platform documentationSupport migration of legacy data warehouses and ETL solutions to Azure Databricks and Lakehouse architecturesProvide technical support and troubleshooting for production incidents related to Azure Databricks, Spark workloads, data pipelines, and platform infraRequisitos principalesUniversity degree with relevant IT experience (9+ years)8+ years designing xhfqzwm and implementing enterprise data platforms5+ years hands-on Azure Databricks in enterprise environmentsExperience with Azure Databricks, Delta Lake, Unity Catalog, and Databricks governanceExperience with Apache Spark (PySpark and/or Spark SQL)Experience with Terraform and/or Bicep for IaCStrong CI/CD experience with Azure DevOps and deployment automationSecurity architecture experience: RBAC, Managed Identities, Private Endpoints, Key Vault, encryptionData governance, metadata, lineage, and fine-grained access controlsStrong SQL, Python and PySpark skillsExcellent command of Englishstrong communicationcollaborative mindsetproblem-solvingAzure DatabricksDelta LakeUnity Catalog

📌 Data Architect (Sabiñánigo)
🏢 GMV
📍 Sabiñánigo