Senior Databricks Specialist / Data Architect

Employment; Doha; On-site; QAR 300,000 - 520,000; Full time

Job summary

Employment is seeking a hands-on Senior Databricks Specialist / Data Architect to design and govern enterprise data solutions on Azure Databricks. The role focuses on scalable ETL/ELT pipelines, Medallion Architecture, and Delta Lake optimization, with governance, security, and performance at the forefront.

You will define platform standards, integrate with enterprise apps like Dynamics 365, and support Power BI and analytics platforms through optimized data models.

Qualifications

• 8+ years in data engineering or data architecture.
• 4+ years with Azure Databricks.
• Strong Spark and PySpark experience.
• Delta Lake and Unity Catalog expertise.
• Experience with data governance, security, and lineage.
• CI/CD, Git, and Azure DevOps proficiency.

Responsibilities

• Design enterprise-scale data solutions on Azure Databricks.
• Define Databricks data architecture and platform standards.
• Ingest and integrate data from multiple sources.
• Develop scalable ETL/ELT pipelines with Spark.
• Implement Medallion Architecture and Delta Lake optimization.
• Partner with Power BI and other analytics tools.
• Ensure data quality, governance, and security; enable CI/CD.

Skills

Azure Databricks

Apache Spark

PySpark

Data modeling

Data governance

CI/CD

Git

Azure DevOps

Security controls

Performance optimization

Tools

Delta Lake

Unity Catalog

Azure Data Factory

Azure Data Lake Storage Gen2

Job description

Senior Databricks Specialist / Data Architect

Industry Information Technology and Services

Job Description

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.

Responsibilities

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 Dev Ops practices for Databricks solutions. Conduct technical reviews and mentor data engineers. Ensure data platform solutions meet security, availability, scalability, and disaster recovery requirements.

Qualifications

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 Dev Ops, 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