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This role focuses on enhancing security technology services through cloud-native analytics, integration, and automation. The ideal candidate will design, build, and optimize solutions using Microsoft Fabric and OneLake, integrating across various Microsoft and security platforms. The position emphasizes creating automated workflows that transform operational data into actionable insights, driving continuous improvement and operational excellence across the Information Security organization.

Design and construct enterprise-level analytics solutions using Microsoft Fabric, including OneLake, Lakehouse, and Medallion architecture. Develop robust data ingestion frameworks, implementing integrations across ADLS Gen2, Azure services, ServiceNow, Microsoft 365, and external cloud sources. Manage Lakehouse environments for optimal data quality, governance, and performance. Build semantic models and Power BI solutions for comprehensive reporting. Enable advanced analytics and AI use cases, enforcing data governance and security measures.

Develop cloud-native automation solutions with Azure Logic Apps and Power Automate, creating scalable workflows for operational processes and security activities. Build event-driven automation using Fabric Event Streams and APIs. Design automated workflows to enhance service onboarding, compliance monitoring, and platform health.

Implement enterprise integrations across Microsoft 365, ServiceNow, Azure services, and third-party applications. Develop reusable integration frameworks and APIs for secure and scalable data movement. Collaborate with stakeholders to streamline data exchange and service interoperability.

A Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or a related engineering field is required. Candidates should possess at least 5 years of experience in Data Engineering, Cloud Engineering, Automation Engineering, Analytics, or Platform Engineering, with a total of 9+ years of relevant technical experience. A strong understanding of modern cloud data platform architecture, automation engineering, and enterprise integration patterns is essential.

Proficiency in SQL and Python/PySpark is necessary, along with hands-on experience in Lakehouse and Medallion architecture patterns. Familiarity with workflow automation, low-code platforms, API integrations, and event-driven architectures is crucial. Experience designing enterprise integrations across cloud services, ITSM platforms, and security technologies is highly valued.

Demonstrated experience with Azure DevOps, Git, CI/CD pipelines, and Infrastructure as Code technologies is expected. Knowledge of security concepts and prior experience supporting a Security or Information Security organization is a significant advantage. Passion for emerging technologies like AI, GenAI, and intelligent automation is highly desirable.