Senior Data Engineer, Enterprise Data and Protection

** 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 One Trust, Informatica DPM, Informatica TDM, BigID, or similar enterprise platforms.

+ Expert level experience Python, Java, Power Shell, 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 Dev Ops, 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