> Markdown version of [/jobs/ext/3107852-azure-data-engineer-cybersecurity-data-lakehouse](https://www.wearedevelopers.com/jobs/ext/3107852-azure-data-engineer-cybersecurity-data-lakehouse). 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). --- # Azure Data Engineer - Cybersecurity Data Lakehouse - **Company:** Axiom - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $166,400.0 - $178,880.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Microsoft Azure, Cyber Security, Information Engineering, Data Governance, Data Integration, Information Leak Prevention, Data Transformation, Data Security, Information Security Management, Systems Development Life Cycle, Standard Sql, Enterprise Data Management, Data Processing, Azure Data Factory, Apache Spark, Data Lakehouse, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** September 27, 2026 - **Apply:** https://www.juju.com/job/16_88fc5995 ## About the Role 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. ## Description * 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. ## Related Videos - [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) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## 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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)