Lead DLP Data Integration and Automation Engineer
Job in
Yuma, Yuma County, Arizona, 85365, USA
Listed on 2026-08-11
Listing for:
Jobtailor
Full Time
position Listed on 2026-08-11
Job specializations:
-
IT/Tech
Cybersecurity, Information Security & Data Protection, IT Consultant
Job Description & How to Apply Below
- Lead the design, implementation, and support of highly complex Data Loss Prevention (DLP) and data protection solutions.
- Develop automation solutions using Python, Bash/Shell scripting, and other scripting languages to streamline DLP data onboarding, validation, and operational processes.
- Design and maintain automated workflows that prepare, transform, and integrate sensitive data sources for enterprise DLP platforms.
- Ensure DLP systems are receiving accurate and current data feeds, including HR, customer, PII, and other sensitive data classifications.
- Provide cybersecurity consulting and technical guidance to business and technology partners to ensure compliance with enterprise security policies and standards.
- Design, document, test, implement, and support security solutions across network, endpoint, cloud, application, and data protection domains.
- Perform root-cause analysis, technical troubleshooting, and resolution of complex security and integration issues.
- Conduct security risk assessments and recommend remediation strategies for identified vulnerabilities.
- Evaluate emerging technologies, perform proof-of-concept testing, and develop implementation plans for enterprise deployment.
- Collaborate with engineers, architects, application teams, infrastructure partners, and security stakeholders across the organization.
- Lead, mentor, and provide technical direction to junior engineers and other team members.
- Drive continuous improvement initiatives focused on automation, operational efficiency, and security effectiveness.
- 5+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years of experience troubleshooting in complex technical environments
- 4+ years of experience supporting data transmission solutions (i.e. email messaging, web proxy, firewall, etc.) in a large enterprise
- 4+ years of experience leading and directing the activities of technical staff
- 2+ years of experience with DLP and other Data Protection solutions
- 1+ year of experience with SQL queries
- 1+ year of experience with API scripting
- 1+ year of experience building/managing MS SQL and/or Oracle databases, including data feeds and ETL
- Experience with application support in Linux and Windows server environments
- Experience with scripting tools such as bash, python, powershell, etc.
- Experience performing technical product assessments, including development of implementation plans, in a large enterprise
- Experience securing cloud data storage or transmission solutions
- Experience mentoring/guiding less experienced staff
- Strong analytical skills with high attention to detail and accuracy
- Advanced critical thinking, problem solving and technical troubleshooting abilities
Demonstrates expertise in Data Loss Prevention (DLP) and data protection solutions, with a strong focus on automation using Python and Bash scripting. Proven ability to lead technical teams, conduct security risk assessments, and ensure compliance with enterprise security policies.
Highest-signal resume keywords- Data Loss Prevention (DLP)
- Python Scripting
- Technical Troubleshooting
- Security Risk Assessment
- Team Leadership
- Information Security Engineering
- SQL Queries
- API Scripting
- Data Transmission Solutions
- ETL Processes
- Linux Server Support
- Windows Server Support
- Automation Solutions
- Technical Product Assessments
- Cloud Data Security
- Analytical Skills
- Critical Thinking
- Problem Solving
- Attention to Detail
- Mentoring
- Cybersecurity Consulting
- Data Protection
- Compliance
- Operational Efficiency
- Continuous Improvement
- Bash
- Python
- Power Shell
- MS SQL
- Oracle Databases
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