Azure Data Engineer - Cybersecurity Data Lakehouse

• Work on a high-visibility cybersecurity data initiative focused on centralizing Data Security Posture Management and Data Loss Prevention information.
• Partner directly with cybersecurity, engineering, and data stakeholders while contributing to an enterprise Azure data platform.
• Gain exposure to complex security datasets, modern cloud data engineering technologies, and enterprise governance practices.

How You Will Make An Impact

• Design, develop, and maintain Azure-based data ingestion pipelines supporting an enterprise cybersecurity data lakehouse.
• Integrate DSPM, DLP, and other information-security data sources into a centralized cybersecurity data environment.
• Develop scalable data solutions using Azure Data Factory, Azure Synapse Analytics, Databricks, and related Azure services.
• Work closely with data owners, information protection teams, and security engineering groups to translate technical requirements into reliable ingestion solutions.
• Serve as a technical liaison across cybersecurity and data teams to resolve data integration issues and maintain delivery alignment.
• Support data quality, security, governance, and compliance requirements throughout the ingestion lifecycle.
• Provide timely updates on development work, dependencies, blockers, and deliverables within the team’s sprint schedule.
• Follow enterprise SDLC, Agile development, testing, and deployment standards.

Do You Bring Proven Success In Azure Data Engineering And Enterprise Data Pipelines?

• 10+ years of overall technology or data engineering experience, with substantial recent experience building enterprise data solutions.
• Strong hands-on experience designing and developing data pipelines in Microsoft Azure.
• Advanced experience with Azure Data Factory.
• Strong working knowledge of Azure Databricks and Spark-based data processing.
• Experience with Azure Synapse Analytics and enterprise data lake or lakehouse architectures.
• Strong SQL and data transformation capabilities.
• Experience integrating multiple enterprise data sources into centralized analytical environments.
• Understanding of data governance, data security, access controls, and compliance considerations.
• Ability to work effectively with technical and nontechnical stakeholders across data, engineering, and cybersecurity teams.
• Experience working within Agile/Scrum development environments and enterprise SDLC processes.
• Cybersecurity, DLP, DSPM, or security-data experience is highly valuable.
• Azure data engineering certifications are preferred.