> Markdown version of [/jobs/ext/2947993-senior-databricks-administrator-architect](https://www.wearedevelopers.com/jobs/ext/2947993-senior-databricks-administrator-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Databricks Administrator/Architect

- **Company:** EUROPEAN DYNAMICS SA.
- **Location:** Valencia, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Microsoft Access, Application Performance Management, Architectural Patterns, Microsoft Azure, Cyber Security, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Apache Hive, Job Scheduling, Python (Programming Language), Log Analysis, Metadata, Meta-Data Management, Performance Tuning, Role-Based Access Control, Azure Active Directory, Standard Sql, Data Streaming, Enterprise Data Management, Cloud Monitoring, Apache Spark, Data Lakes, Pyspark, Information Technology, Data Lineage, Deployment Automation, Bicep, Data Management, Terraform, Stream Analytics, Data Pipelines, Key Vault, Databricks
- **Published:** September 16, 2026
- **Apply:** https://www.buscojobs.com.es/senior-databricks-administrator-architect-en-valencia-ID-370694278

## About the Role

tuning, Spark optimization, partitioning, Delta optimization, Photon, cost control - Design monitoring and operational dashboards using Azure Monitor, Log Analytics, Application Insights and Databricks system tables - Develop reusable architecture patterns, development standards, naming conventions, and platform documentation - Support migration of legacy data warehouses and ETL solutions to Azure Databricks and Lakehouse architectures - Provide technical support and troubleshooting for production incidents related to Azure Databricks, Spark workloads, data pipelines, and platform infraResponsabilidades - University degree with relevant IT experience (9+ years) - 8+ years designing and implementing enterprise data platforms - 5+ years hands-on Azure Databricks in enterprise environments - Experience with Azure Databricks, Delta Lake, Unity Catalog, and Databricks governance - Experience with Apache Spark (PySpark and/or Spark SQL) - Experience with Terraform and/or Bicep for IaC

## Description

Experteer Overview 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 / Beneficios - Collaborate with Data Platforms and Integration teams to architect and implement scalable enterprise data platform solutions using Azure Databricks and related Azure services - Design and develop data engineering frameworks for batch, streaming, ELT/ETL, and real-time analytics workloads - Administer Azure Databricks workspaces: cluster config, job scheduling, Unity Catalog, secret management, and workspace governance - Define and implement enterprise security architecture: Azure AD integration, RBAC, PIM, encryption, private networking, Key Vault - Establish data governance standards with Unity Catalog: data lineage, metadata management, access policies, audits - Deploy and configure CI/CD pipelines with Azure DevOps and DAB; IaC with Terraform/Bicep; automate deployments and environment promotion - Optimize Databricks workloads: performance tuning, Spark optimization, partitioning, Delta optimization, Photon, cost control - Design monitoring and operational dashboards using Azure Monitor, Log Analytics, Application Insights and Databricks system tables - Develop reusable architecture patterns, development standards, naming conventions, and platform documentation - Support migration of legacy data warehouses and ETL solutions to Azure Databricks and Lakehouse architectures - Provide technical support and troubleshooting for production incidents related to Azure Databricks, Spark workloads, data pipelines, and platform infraResponsabilidades - University degree with relevant IT experience (9+ years) - 8+ years designing and implementing enterprise data platforms - 5+ years hands-on Azure Databricks in enterprise environments - Experience with Azure Databricks, Delta Lake, Unity Catalog, and Databricks governance - Experience with Apache Spark (PySpark and/or Spark SQL) - Experience with Terraform and/or Bicep for IaC - Strong CI/CD experience with Azure DevOps and deployment automation - Security architecture experience: RBAC, Managed Identities, Private Endpoints, Key Vault, encryption - Data governance, metadata, lineage, and fine-grained access controls - Strong SQL, Python and PySpark skills - Excellent command of EnglishRequisitos principales - competitive remuneration - remote work option - full benefits package


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Reality and Beyond: Coding a Drone Using {Unity 3D .NET} and ChatGPT AI!](https://www.wearedevelopers.com/videos/702-reality-and-beyond-coding-a-drone-using-unity-3d-net-and-chatgpt-ai)
- [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)

## Related Articles

- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Spanish Business Culture and Etiquette](https://www.wearedevelopers.com/magazine/353-spanish-business-culture-and-etiquette)