Data Modeler
3 weeks ago
Qualifications:
- Bachelor’s or equivalent experience in Computer Science, Data Science, Cybersecurity, or a related field.
- Proven experience in data modeling, data architecture, or a similar role.
- Strong understanding of database structure principles and data modeling standards.
- Experience with data modeling tools such as: Excel, Visio, MySQL, Python, Oracle, Big Query, Talend, Power BI, Axonius.
Overview: As a Data Modeler in our Cyber Data Management team, you will play a critical role in designing and implementing models that help in understanding, use, and protection of critical data streams across the corporate environment. You will work closely with cybersecurity experts and data scientists to ensure our global data architecture supports and enhances our cybersecurity measures. This position requires a blend of analytical skills, strategic thinking, and a deep understanding of data structures.
Responsibilities:
- Design and implement comprehensive data models to support our data management objectives.
- Collaborate with technology teams to develop secure data storage solutions.
- Analyze and translate business needs into long-term solution data models.
- Evaluate and improve existing data structure to enhance data value and identify risk reductions.
- Work with cybersecurity analysts to integrate security measures into data models.
- Liaise with stakeholders to identify architectural requirements and ensure the data management program is compliant.
90 Day Goals:
- Complete a comprehensive inventory and assessment of existing data assets across the organization, delivering a detailed, active report outlining status of all data sources.
- Develop a standard data modeling framework to be applied across all data management workstreams such as event logging, agent tracking, and security metrics development.
Develop formalized data governance targets, stakeholder roles and responsibilities, and standard policies to enable oversight of security data management.
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