• This position will follow our hybrid work model, we expect the selected candidate to be in office 3 days a week at the following office location: St. Petersburg, FL.
• _Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future._
• Responsibilities
• : + Lead enterprise data discovery, classification, cataloging, and data protection initiatives across on-premises and cloud-based platforms.

+ Design, implement, and support data privacy and protection solutions, including data masking, tokenization, anonymization, and sensitive data management.

+ Engineer, optimize, and support enterprise database platforms, including Oracle, SQL Server, AWS, Azure, and other modern data technologies.

+ Develop scalable data solutions that align with security, governance, compliance, and business objectives.

+ Automate data management and operational processes through scripting, APIs, workflows, and engineering best practices.

+ Troubleshoot and resolve complex technical issues while driving continuous improvement, scalability, and operational excellence.

+ Leverage AI and emerging technologies to enhance data discovery, classification, documentation, and engineering productivity.

+ Partner with Technology, Cybersecurity, Risk, Governance, and Compliance teams to ensure regulatory and data protection requirements are met.

+ Serve as a subject matter expert for enterprise data privacy, protection, and governance technologies.

+ Lead technical design discussions, mentor team members, and communicate complex solutions to both technical and business stakeholders.

+ Develop and maintain technical standards, architecture documentation, and operational procedures to support enterprise data initiatives.

• Qualifications
• + Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information Security, or related technical field.

+ Expert level experience with ANY ONE platform OneTrust, Informatica DPM, Informatica TDM, BigID, or similar enterprise platforms.

+ Expert level experience Python, Java, PowerShell, SQL, or API development experience.

+ Very good experience building automation solutions leveraging AI and Generative AI technologies.

+ Good Experience supporting enterprise cybersecurity and privacy programs.

+ Good familiarity with DevOps, CI/CD, Infrastructure as Code, and cloud-native architectures. + 8+ years of experience in Privacy Data Engineering, Data Security, Data Protection, and Data Protection related technology disciplines.

+ Proven experience leading enterprise-scale data privacy and data protection initiatives.

• Preferred Certifications:
• + IAPP

CIPP, CIPT, CIPM

+ Certified Information Systems Security Professional (CISSP)

+ Microsoft Azure Data Engineer Associate

+ AWS Certified Data Engineer

+ Snowflake Certification

+ Informatica Professional Certifications

+ Data protection or Privacy-related Certifications