Description

You will lead the design and decision-making phases for the security data lake implementation.

Responsibilities

• Produce target-state architecture, integration patterns, and a delivery roadmap aligned with the UVM + Security Data Lake business case.
• Define the vulnerability/asset/exposure canonical model and the Bronze → Silver → Gold (medallion) ingestion approach.
• Establish data quality rules, metrics, and SLAs across all data sources, defining controls for lineage and cataloging.
• Design and prototype ingestion/mapping for key systems, defining normalization schemas and harmonized identifiers.
• Specify the scoring framework that fuses external severity with internal business risk factors and define reporting layers for stakeholders.

Required Skills

• 10+ years of technical experience in data analytics, security vulnerability analysis, data architecture, or security data strategy.
• Expertise in canonical modeling, medallion/Delta patterns, data contracts, and MDM/ER techniques.
• Proven ability to define Data Quality (DQ) rules, metrics, lineage, and cataloging processes.
• Working fluency with vulnerability/asset/security datasets driving CTEM outcomes.
• Hands-on experience with ingestion frameworks and schema evolution for scanner and asset sources.
• Familiarity with ServiceNow data models for ticket creation and status telemetry.
• Experience with Axonius, ArmorCode, TenableOne, Brinqa, or similar asset aggregation platforms.
• Proficiency in Big Query, PowerBI, or Tableau for data consumption.
• Bachelor's degree in Computer Science or a related discipline.

Key Skills

Education

Bachelor's degree