Senior Databricks Specialist / Data Architect
Doha Senior Data Engineering
At a glance
Senior Data Engineering role at Malomatia. Doha.
Pay not stated Data Engineering salary
RoleData Engineering
SenioritySenior
LocationDoha
PostedNov 12, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build enterprise data solutions on Azure Databricks, from architecture and platform standards through deployment
- Create ingestion and integration pipelines, then develop scalable batch and near-real-time processing with Spark
- Apply Medallion Architecture and Delta Lake, shaping data models for analytical and operational reporting
- Improve Spark jobs, clusters, SQL, Delta tables and pipelines for performance and cost while enforcing security and governance
- Set production and delivery standards, investigate complex issues, and review work while mentoring data engineers
What you bring
- At least eight years in data engineering or data architecture, including four or more years working hands-on with Azure Databricks
- Strong practical skills in Apache Spark and PySpark, Delta Lake, SQL and large-scale data processing
- Experience designing enterprise data platforms and pipelines, with knowledge of Medallion Architecture and Unity Catalog governance
- Hands-on Azure data services experience, including Azure Data Factory or Azure Data Lake Storage Gen2
- Experience with CI/CD, Git, Azure DevOps and deployment automation
Who this fits
This senior, hands-on role suits someone who can independently design, build, optimize and govern production Databricks solutions, and who can guide other data engineers. The stated location is Doha, Qatar.
From the employer
Hands-on senior Databricks specialist with proven experience in production enterprise environments. We are specifically looking for someone who can independently design, develop, troubleshoot, optimize, and govern Databricks solutions, rather than someone whose experience is limited to basic Databricks development.
- Design and implement enterprise-scale data solutions using Azure Databricks.
- Define and maintain Databricks data architecture and platform standards.
- Design data ingestion and integration pipelines from multiple source systems.
- Develop scalable ETL/ELT pipelines using Databricks and Apache Spark.
- Design and implement Medallion Architecture (Bronze, Silver, Gold) where appropriate.
- Work with Delta Lake and optimize Delta tables and data pipelines.
- Design data models and transformation processes for analytical and operational reporting.
- Integrate Databricks with Microsoft Dynamics 365 / Dataverse and other enterprise applications.
- Develop and optimize batch and near-real-time data processing pipelines.
- Implement data quality, validation, monitoring, lineage, and governance processes.
- Optimize Spark jobs, clusters, SQL queries, Delta tables, and data pipelines for performance and cost.
- Implement appropriate data security and access controls.
- Work with Unity Catalog for data governance, access control, cataloging, and lineage.
- Support Power BI and other analytical/reporting platforms through optimized data models and data services.
- Troubleshoot complex data engineering and performance issues.
- Establish development, testing, and production standards for Databricks.
- Support CI/CD and DevOps practices for Databricks solutions.
- Conduct technical reviews and mentor data engineers.
- Ensure data platform solutions meet security, availability, scalability, and disaster recovery requirements.
- Minimum 8+ years of experience in data engineering/data architecture.
- Minimum 4+ years of strong hands-on experience with Azure Databricks.
- Strong hands-on experience with Apache Spark and PySpark.
- Strong experience with Delta Lake.
- Strong experience designing enterprise data platforms and data pipelines.
- Strong knowledge of Databricks Medallion Architecture.
- Strong experience with Unity Catalog, data governance, access control, and data lineage.
- Strong SQL skills and experience with large-scale data processing.
- Strong experience with Azure data services.
- Experience with Azure Data Factory / Azure Data Lake Storage Gen2.
- Experience integrating Databricks with APIs, enterprise applications, CRM systems, and other data sources.
- Experience with data modeling and dimensional modeling.
- Strong understanding of data quality and data governance.
- Strong understanding of performance optimization and Databricks cost optimization.
- Experience with CI/CD, Git, Azure DevOps, and deployment automation.
- Experience working with large-volume enterprise datasets.
- Ability to troubleshoot complex production data issues.
Preferred Certifications
- Databricks Certified Data Engineer Professional
- Databricks Certified Data Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Other relevant Databricks/Azure certifications
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