The business needs to establish and scale a specialized data engineering team at an enterprise level to support vulnerability management, ensuring data quality, consistency, and timeliness for reporting and analytics use cases, and to translate program requirements into scalable data engineering solutions.
Requirements
- Demonstrated expertise with modern data engineering practices (ETL/ELT, data pipelines, APIs, automation).
- Familiarity with vulnerability management or security data domains.
- Experience with cloud-native data platforms and tools.
- Knowledge of common security and vulnerability management tools (e.g., scanning platforms, posture management systems).
- Understanding of quantitative risk or posture reporting frameworks.
Responsibilities
- Oversee the design and implementation of data pipelines that ingest, normalize, and integrate security data from multiple sources.
- Ensure data quality, consistency, and timeliness for reporting and analytics use cases.
- Partner with platform owners and security teams to ensure proper integration of vulnerability and posture data.
- Guide the team in adopting best practices for data engineering, automation, and reliability.
- Translate program requirements into scalable data engineering solutions.
Other
- Build, mentor, and lead a team of data engineers supporting enterprise vulnerability management.
- Establish clear objectives, success metrics, and career development opportunities for team members.
- Foster a culture of innovation, accountability, and continuous improvement.
- Collaborate with vulnerability management, application security, and risk functions to ensure data supports decision-making at all levels.
- Provide regular updates on team progress, data quality, and program enablement.
- Strong leadership and communication skills, with the ability to guide engineers and collaborate with stakeholders.
- Vanguard is not offering visa sponsorship for this position.
