JOB SUMMARY Position reports in Enterprise Data Services and is instrumental in architecting, implementing, and maintaining robust security configurations across our enterprise data platform, ensuring the confidentiality, integrity, and availability of our most valuable assets. This is a hybrid role requiring strong expertise in both Data Engineering principles and advanced Data Security architecture.
BENEFITS UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
- PPO medical plan, available day one at no cost for full-time employee-only coverage
- 100% coverage for preventive healthcare-no copay
- Paid Time Off, available day one
- Retirement Programs through the Teacher Retirement System of Texas (TRS)
- Paid Parental Leave Benefit
- Wellness programs
- Tuition Reimbursement
- Public Service Loan Forgiveness (PSLF) Qualified Employer
- Learn more about these and other UTSW employee benefits!
EXPERIENCE AND EDUCATIONRequired- Education
Bachelor's Degree in Computer Science, Data Engineering, Cybersecurity, or a related technical field or
Master's Degree in Computer Science, Data Engineering, Cybersecurity, or a related technical field.
- Experience
5 years of professional experience in Data Engineering, Information Security, or a combination of both, with a strong focus on securing large-scale data platforms.
JOB DUTIES - The Data Security Engineer will be responsible for defining and enforcing the security posture of our data ecosystem, while also contributing to core data platform architecture.
- Security Architecture & Implementation: Design, implement, and manage advanced security configurations for the data platform, focusing specifically on tools like Azure Purview for data governance, Data Loss Prevention (DLP) strategies, and Data Security Posture Management (DSPM) across cloud environments.
- IAM & Access Control: Expertly define, configure, and maintain Identity and Access Management (IAM) and Role-Based Access Control (RBAC) policies across data environments (e.g., data lakes, data warehouses, streaming platforms) to enforce the principle of least privilege.
- Data Engineering & Pipeline Security: Collaborate with Data Engineering teams to embed security controls directly into data ingestion and processing pipelines, ensuring data is secured and compliant from source to consumption.
- Protocol Establishment: Establish and maintain comprehensive safety protocols and controls to protect all data collected, processed, and used by the organization throughout its entire lifecycle.
- Compliance and Governance: Ensure the strict compliance of data security policies, processes, and standard operating procedures (SOPs) within the day-to-day management and operation of the data platform.
- Security Assessment and Optimization: Continually assess the effectiveness of existing security measures, identify vulnerabilities, and recommend necessary updates, renewals, or new opportunities for improving the security landscape.
- Secure Data Transfer: Implement mechanisms to avoid unsafe data transmission. Design and manage confidential data transfers, ensuring they are protected using robust methods like firewall protection and encryption.
- Vulnerability Testing: Plan, execute, and analyze results from regular penetration testing and vulnerability scanning on the data systems to proactively identify and remediate weaknesses.
- Incident Response & Forensics: Participate in the data security incident response process, specifically by compiling post-breach information and data for comprehensive forensic analysis and reporting.
- Performs other duties as assigned.
