SoTalent
Data Security Engineer Lead
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Lead Data Security Engineer
📍 Location: London, London, United Kingdom
🏢 Industry: Software Development
💼 Work Setting: Hybrid
Are you a hands-on security engineering leader with expertise in data protection, cloud security, automation, and secure-by-design practices? This role offers the opportunity to shape the future of enterprise data security, drive security innovation, and enable business growth through proactive, scalable security solutions. As a senior individual contributor, you will work across engineering, data, AI, cloud, and business teams to develop security capabilities that protect critical data assets while supporting rapid innovation and delivery.
Key Responsibilities
Data Security Leadership
Security Strategy & Vision
- Define the long-term security architecture and roadmap for enterprise data platforms.
- Translate complex business risks into scalable security solutions.
- Establish security standards that support growth, innovation, and compliance.
- Drive adoption of security-by-design principles across data initiatives.
Embedded Security Partnership
- Work directly with engineering and data teams.
- Understand real-world data handling practices and operational risks.
- Participate in solution design and implementation activities.
- Serve as a trusted advisor on secure data engineering practices.
Security Engineering
Secure Solution Development
- Design and implement data security controls in collaboration with product and engineering teams.
- Build practical security solutions that integrate seamlessly into development workflows.
- Balance risk mitigation with business agility and speed.
Security Automation
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Develop and maintain automated solutions for:
- Risk Detection
- Vulnerability Identification
- Remediation Workflows
- Compliance Monitoring
- Security Enforcement
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Promote automated security controls.
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Create reusable security frameworks and templates.
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Enable teams to adopt security practices through code and automation.
Cloud & Data Protection
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Implement and manage controls across cloud environments including:
- Object Storage Security
- Data Access Controls
- Encryption Standards
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Support enterprise initiatives involving:
- Data Security Posture Management (DSPM)
- Data Loss Prevention (DLP)
- Data Classification
- Data Discovery
- Data Masking
- Access Governance
- Data Governance
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Improve visibility into sensitive data assets.
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Support governance and compliance efforts.
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Enhance control over data access and usage.
Security Monitoring & Risk Reduction
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Deploy automated monitoring and alerting solutions.
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Identify risks across cloud data environments.
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Enable proactive threat detection and response.
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Build tools and scripts that automatically address identified risks.
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Improve operational efficiency through security automation.
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Reduce manual intervention requirements.
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Analyze security findings and prioritize remediation activities.
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Focus on reducing systemic and recurring vulnerabilities.
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Collaborate with security engineering teams to implement long-term solutions.
DevSecOps & Platform Security
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Integrate security controls within development pipelines.
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Implement automated security checks before deployment.
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Design security gates that minimize risk without slowing delivery.
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Develop secure baseline configurations.
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Embed security standards into infrastructure templates.
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Ensure consistent deployment of secure environments.
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Collaborate with software and data engineers.
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Promote security throughout the software development lifecycle.
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Support secure cloud-native architectures.
AI & LLM Security
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Secure AI and machine learning pipelines.
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Implement controls protecting sensitive training and inference data.
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Support responsible AI adoption.
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Address risks including:
- Prompt Injection
- Data Leakage
- Model Abuse
- Unauthorized Access
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Ensure visibility into AI-related data flows.
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Support governance and compliance initiatives.
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Enable secure AI innovation.
Security Governance & Compliance
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Support compliance with GDPR and data privacy requirements.
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Ensure security controls align with regulatory obligations.
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Collaborate with legal, risk, and compliance stakeholders.
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Bridge enterprise security standards with operational realities.
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Ensure security controls are practical and effective.
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Support audit and governance requirements.
Required Qualifications
Experience
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Extensive hands-on experience in:
- Data Security Engineering
- Cloud Security
- Security Automation
- Enterprise Security Programs
- Data Protection Expertise
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Experience implementing:
- DSPM (Data Security Posture Management)
- DLP (Data Loss Prevention)
- Data Classification
- Data Discovery
- Encryption Frameworks
- Access Governance
Technical Skills
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Security Engineering
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Security Automation
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Threat Detection
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Security Monitoring
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Security Assessment
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Vulnerability Remediation
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Cloud Security
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Cloud Data Platforms
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Object Storage Security
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Identity & Access Management
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Cloud Governance
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Secure Architecture
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DevSecOps
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CI/CD Security
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Infrastructure as Code (IaC)
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Security Automation
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Secure Software Delivery
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Programming & Automation
- Strong experience with:
- Scripting Languages
- Automation Frameworks
- Remediation Tooling
- Security Engineering Workflows
- Strong experience with:
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AI & Emerging Technology
- Experience or familiarity with:
- AI Security
- LLM Security
- Data Lineage
- Model Governance
- Secure AI Development
- Experience or familiarity with:
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Compliance & Privacy
- Strong understanding of:
- GDPR
- Data Privacy
- Security Governance
- Enterprise Risk Management
- Strong understanding of:
Preferred Skills
- DSPM Platforms
- Wiz
- DLP Solutions
- Cloud Security Platforms
- DevSecOps
- Security-as-Code
- Infrastructure Automation
- Data Governance
- AI Security
- Access Management
Key Skills
- Data Security Engineering
- Cloud Security
- DSPM
- DLP
- Data Classification
- Encryption
- Access Governance
- Security Automation
- CI/CD Security
- Infrastructure as Code
- GDPR
- AI Security
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