Lead Information Security Engineer
New
J
JobgetherInformation security
Based in the United StatesFull-TimeLead
SalaryAnnual compensation ranging from $126,710 to $188,840
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Job Details
- Experience
- At least six years of experience in security engineering, information systems, data engineering, security analytics, application development, or a closely related field, including substantial hands-on technical delivery.
- Required Skills
- AWSPythonSQLSnowflakeRESTful APIsData modeling
Requirements
- Have a bachelor's degree in arts, sciences, or a related discipline, or equivalent professional experience.
- Bring at least six years of experience in security engineering, information systems, data engineering, security analytics, application development, or a closely related field, including substantial hands-on technical delivery.
- Demonstrate experience leading technical projects or small teams, guiding solution design, mentoring colleagues, and managing initiatives from planning through delivery.
- Have strong information security understanding and practical experience with vulnerability, exposure, cloud, application, endpoint, identity, governance, and security control data.
- Have advanced hands-on skills in Python, SQL, APIs, data modeling, databases, and automated data pipelines.
- Have experience building analytical models, pipelines, or data products using Snowflake, an enterprise data platform, or a comparable cloud data ecosystem.
- Have experience designing, developing, deploying, and operating applications or data services on AWS or another major cloud platform.
- Be able to define and operationalize KPIs, KRIs, control-effectiveness measures, and outcome-based metrics, including calculation logic, thresholds, targets, ownership, and validation.
- Have working knowledge of governed data-product practices, including role-based access, data lineage, metadata management, data quality, ownership, and secure data sharing.
- Have experience with security analytics, business intelligence, dashboard development, data visualization, and executive or operational reporting.
- Be familiar with exposure management, vulnerability prioritization, risk-based remediation, security program measurement, and control-effectiveness reporting.
- Relevant certifications and experience with tools such as dbt, Airflow, Atlan, Power BI, Git-based workflows, infrastructure as code, CI/CD, containers, or serverless patterns are preferred.
Responsibilities
- Provide technical direction for complex security data projects, overseeing solution design, implementation, delivery, and operational ownership.
- Build scalable pipelines, applications, APIs, and automation to ingest data from security, cloud, application, endpoint, identity, vulnerability, governance, and risk platforms.
- Deduplicate, correlate, normalize, and enrich security findings with asset ownership, business context, control information, and risk indicators.
- Design reusable security data products and maintain Snowflake data models, SQL transformations, queries, and compute patterns.
- Implement data governance practices for ingestion, transformation, role-based access, lineage, metadata, quality assurance, and lifecycle management.
- Develop and operationalize security KPIs, KRIs, control-effectiveness measures, thresholds, targets, and calculation methodologies.
- Build dashboards, scorecards, reporting capabilities, and reusable services that connect executive-level indicators to underlying assets, controls, findings, and remediation actions.
- Identify trends, systemic risks, concentrated exposures, control gaps, and remediation opportunities, and communicate recommendations.
- Mentor engineers through technical design, peer reviews, training, knowledge sharing, and consistent engineering standards.
- Build data foundations for security automation and AI-enabled capabilities, including integrations based on the Model Context Protocol.
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