Be Part Of A High-Performing Team:

Join a globally recognized financial services organization operating at the forefront of enterprise technology and cybersecurity innovation. This team plays a critical role in safeguarding sensitive data by building advanced data platforms that support threat detection, data protection, and regulatory compliance. The environment is highly collaborative, bringing together enterprise architecture, security engineering, and data operations teams to deliver large-scale, mission-critical initiatives. Current efforts focus on centralizing cybersecurity data into a modern lakehouse architecture, enabling more intelligent and proactive security insights across the organization.

What's In Store For You:

• Engagement: W2 only (no C2C/1099)
• Opportunity to work on high-impact cybersecurity data initiatives within a large enterprise environment
• Exposure to cutting-edge Azure data technologies and enterprise-scale data lakehouse architecture
• Long-term project with potential for extension and continued growth

How You Will Make An Impact:

• Design and build scalable data pipelines within Azure to support centralized cybersecurity data initiatives
• Develop and optimize ingestion frameworks for multiple security data sources (e.g., Proofpoint data suite)
• Contribute to the development of a Cybersecurity Data Lakehouse, enabling advanced analytics and data protection strategies
• Collaborate cross-functionally with Enterprise Architecture, Security Engineering, and Data Owners
• Ensure data integrity, security, and compliance across all pipelines and storage layers
• Act as a technical liaison, driving communication and alignment across multiple teams
• Support Agile delivery by contributing to sprint planning, updates, and adherence to SDLC processes

Are you a proven Azure Data Engineering expert in large-scale enterprise environments?

• 10+ years of experience in data engineering, with strong focus on enterprise data platforms
• Hands-on experience with Azure technologies including Synapse Analytics, Azure Data Factory, and Databricks
• Proven experience building and optimizing large-scale data pipelines and lakehouse architectures
• Strong understanding of data security, governance, and compliance in enterprise environments
• Experience working with cybersecurity or security-related datasets is highly preferred
• Strong SQL and data transformation expertise
• Experience working in Agile environments and collaborating with cross-functional teams
• Excellent communication skills with ability to act as a technical liaison across stakeholders
• Azure certifications are strongly preferred