Be Part Of A High-Performing Team:

Join a large, globally recognized financial services environment where cybersecurity, data governance, and operational resilience are mission-critical. This team sits at the intersection of information security, insider risk, and data engineering, supporting initiatives that strengthen enterprise protection through better visibility, centralized governance, and scalable data platforms. The environment is collaborative, delivery-focused, and highly cross-functional, with close partnership across security engineering, data operations, and business-aligned data owners. This role offers the chance to contribute to a high-impact modernization effort focused on building a more unified and actionable cybersecurity data ecosystem.

What’s In Store For You:

Engagement: W2 only (no C2C/1099)

This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership.

How You Will Make An Impact:

• Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse
• Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains
• Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions
• Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem
• Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations
• Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes
• Support data quality, security, compliance, and operational reliability across the Azure data platform
• Contribute hands-on engineering expertise across Azure Synapse, Data Factory, Databricks, and lakehouse-oriented data solutions

Do you bring proven success in Azure data engineering for secure enterprise platforms?

• 10+ years of experience in data engineering, data platform development, or related enterprise data roles
• Strong hands-on experience building Azure data solutions in complex production environments
• Proven expertise with Azure Synapse, Azure Data Factory, and Databricks
• Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows
• Strong understanding of data governance, data security, and compliance considerations in regulated environments
• Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations
• Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments
• Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting
• Azure certifications are valued
• Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred