Senior Security Data Engineer & Analytics Lead

RGA Enterprise Services Company

United States

On-site

USD 120,000 - 190,000

Full time

5 days ago
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Job summary

RGA Enterprise Services Company is seeking a senior Security Data Engineer to lead the design and delivery of scalable data engineering initiatives across security, governance, cloud, and risk platforms. You will build governed data products, optimize Snowflake models, and mentor technical staff.

You will partner with control owners and data platform teams to establish data-quality, lineage, and KPI definitions, socializing results to executives and ensuring measurable risk reduction.

Responsibilities

  • Leads the design and delivery of complex security data engineering initiatives and small cross-functional project teams, providing technical direction from solution design through implementation and operational ownership.
  • Ingests and integrates data from security, governance, cloud, application, endpoint, vulnerability, identity, and risk platforms using scalable data pipelines, applications, APIs, and automation.
  • Deduplicates, correlates, and enriches security findings with asset, ownership, business, control, and risk context to produce actionable intelligence.
  • Designs and delivers governed security data products through RGA's Enterprise Data Platform, using Snowflake and enterprise data-engineering patterns to make security information reusable, trusted, and accessible.
  • Develops and optimizes Snowflake data models, SQL transformations, queries, and compute patterns while managing data quality, performance, access, traceability, and cost.
  • Partners with Enterprise Data Platform, Data Governance, and security teams to establish sustainable ingestion, transformation, role-based access, lineage, metadata, data-quality, and lifecycle practices.
  • Co-develops KPIs, KRIs, control-effectiveness measures, thresholds, targets, and supporting calculation methodologies aligned with security strategy, risk objectives, and technical standards.
  • Establishes metric governance through documented definitions, authoritative data sources, ownership, data-quality checks, refresh cadence, version control, and traceability to underlying risks, controls, and remediation workflows.
  • Socializes metrics with leaders, control owners, and remediation teams by translating technical results into clear risk narratives, validating definitions and assumptions, and connecting executive indicators to accountable teams and actions.
  • Develops tool-agnostic dashboards, scorecards, reporting capabilities, and reusable services with drill-through from leadership indicators to supporting assets, controls, findings, and remediation work.
  • Identifies trends, systemic risks, concentrations of exposure, control gaps, and remediation opportunities, and provides clear recommendations to technical teams and leadership.
  • Builds strong data foundations for security automation and future AI-enabled and Model Context Protocol-based capabilities.
  • Technically mentors associates, establishes engineering standards, guides design and peer reviews, and provides training and knowledge sharing as required.
  • Evaluates new security, data, and analytics technologies and recommends solutions that maximize business value while reducing manual effort and unnecessary vendor dependency.
  • Communicates architecture, tradeoffs, delivery status, risks, and recommendations clearly to technical teams, leaders, and business stakeholders.

Skills

Security data engineering
Data pipelines
Leadership
Mentoring
Analytics

Tools

Snowflake
SQL

Job description

RGA Enterprise Services Company is seeking a senior Security Data Engineer to lead the design and delivery of scalable data engineering initiatives across security, governance, cloud, and risk platforms. You will build governed data products, optimize Snowflake models, and mentor technical staff.

You will partner with control owners and data platform teams to establish data-quality, lineage, and KPI definitions, socializing results to executives and ensuring measurable risk reduction.

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