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 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