Senior Databricks Administrator – Architect

EUROPEAN DYNAMICS

Senior Databricks Administrator/Architect working in remote environment collaborating with a major European Institution on data platform solutions.

Posted 7/23/2026full-timeRemote • 🇪🇸 SpainSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and implementing scalable enterprise data platforms using Azure Databricks, Delta Lake, and related Azure services. Proficient in data engineering frameworks, enterprise security architecture, and CI/CD pipeline deployment.

Highest-signal resume keywords

Azure Databricks AdministrationEnterprise Data GovernanceCI/CD Pipeline ImplementationData Engineering with Apache SparkEnterprise Security Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Azure DatabricksDelta LakeApache SparkPythonSQL ProgrammingTerraformBicepData ModelingData Quality FrameworksMonitoring and Observability

Tools & Technologies

Azure Data Lake Storage Gen2Azure Data FactoryAzure Event HubAzure SQL DatabaseAzure MonitorLog AnalyticsApplication InsightsMicrosoft Entra IDKey VaultPower BI

Certifications & Qualifications

Databricks Certified PlatformMicrosoft Azure Solution Architecture ExpertDatabricks Certified Data Engineer AssociateDatabricks Certified Data Engineer Professional

Industry Keywords

Enterprise Data PlatformsLakehouse ArchitectureData GovernanceRBACData Lineage

Tech Stack

Tools & technologies

ApacheAzureETLPySparkPythonSparkSQLTerraformUnityVault

About the role

Key responsibilities & impact

Collaborate with Data Platforms and Integration team in architecting and implementing scalable enterprise data platform solutions utilizing Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake Storage Gen2, Azure Data Factory, Azure Event Hub, Azure SQL, and related Azure services;
Design and develop enterprise data engineering frameworks supporting batch, streaming, ELT/ETL, and real-time analytics workloads;
Administer and maintain Azure Databricks workspaces including cluster configuration, job scheduling, workspace administration, Unity Catalog implementation, secret management, compute policies, cluster policies, and workspace governance;
Define and implement enterprise security architecture including identity integration with Microsoft Entra ID (Azure AD), Role-Based Access Control (RBAC), Privileged Identity Management (PIM), data encryption, private networking, managed identities, Key Vault integration, and secure access patterns;
Establish enterprise data governance standards utilizing Unity Catalog including data lineage, data quality, metadata management, catalog organization, access policies, and audit capabilities;
Deploy and Configure CI/CD pipelines utilizing Azure DevOps and Databricks Asset Bundles (DAB), Infrastructure as Code (Terraform/Bicep where applicable), deployment automation, release management, and environment promotion strategies;
Optimize Databricks workloads through performance tuning, Spark optimization, cluster sizing, workload isolation, caching strategies, partitioning, Delta optimization, Photon, and cost optimization best practices;
Design enterprise monitoring, logging, operational dashboards, alerting, and platform health monitoring utilizing Azure Monitor, Log Analytics, Application Insights, and Databricks system tables;
Develop reusable architecture patterns, reference implementations, development standards, naming conventions, coding standards, operational procedures, and platform documentation;
Support migration of legacy enterprise data warehouses, ETL solutions, and reporting platforms to Azure Databricks and modern Lakehouse architecture;
Provide technical support and troubleshooting for production incidents related to Azure Databricks, Spark workloads, data pipelines, and platform infrastructure.

Requirements

What you’ll need

University degree in combined with relevant IT professional experience of 9 years;
At least 8 years of experience in designing and implementing enterprise data platforms;
At least 5 years of hands-on experience hands-on Azure Databricks experience in enterprise environments;
Experience with architecting modern Lakehouse solutions using Azure Databricks and Delta Lake;
Experience in administering Azure Databricks workspaces, clusters, Unity Catalog, compute policies, job orchestration, and workspace security;
Experience in developing data engineering solutions using Apache Spark (PySpark and/or Spark SQL);
Experience in implementing enterprise data governance utilizing Unity Catalog, metadata management, data lineage, and fine-grained access controls;
Experience implementing Infrastructure as Code using Terraform and/or Bicep;
Strong experience implementing CI/CD pipelines utilizing Azure DevOps, automated testing, release management, and deployment automation;
Experience designing and working with enterprise security architectures including RBAC, Managed Identities, Private Endpoints, Key Vault integration, encryption, and network security;
Experience implementing enterprise data quality frameworks, monitoring, observability, and operational dashboards;
Strong understanding of data modelling techniques including dimensional modelling, Data Vault, medallion architecture, and enterprise data warehouse concepts;
Strong knowledge of Azure Data Lake Storage Gen2, Azure Data Factory, Azure Event Hub, Azure SQL Database, Azure Key Vault, Azure Monitor, Microsoft Entra ID (Azure AD), and Azure networking;
Strong SQL programming skills and proficiency in Python and PySpark development;
Knowledge of AI/ML workloads, Databricks ML, Feature Store, Model Serving, and Generative AI architectures is considered an asset;
Experience with Power BI, Microsoft Fabric, Synapse Analytics, or other enterprise analytics platforms is highly desirable;
Experience working within large international organizations, NGOs, or United Nations agencies is desirable;
The following certifications are desirable: Databricks Certified Platform, Architecture/Microsoft Azure Solution Architecture Expert/Databricks, Certified Data Engineer Associate/Professional;
Excellent command of the English language.

Benefits

Comp & perks

If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference **(20199/07/2026).**
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.