> Markdown version of [/jobs/ext/3554363-senior-data-engineer-enterprise-data-and-protection](https://www.wearedevelopers.com/jobs/ext/3554363-senior-data-engineer-enterprise-data-and-protection). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer, Enterprise Data and Protection - **Company:** Raymond James Financial, Inc. - **Location:** St. Petersburg, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Cyber Security, Information Systems, Databases, Continuous Integration, Data Discovery, Information Engineering, Data Masking, Data Security, Data Systems, DevOps, Information Systems Security Architecture Professional, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Windows PowerShell, SQL Databases, Tokenization, Enterprise Data Management, Scripting, Cloud Platform System, Snowflake, Infrastructure Automation Frameworks, Information Technology, Data Management, Api Design, Data Pipelines - **Published:** October 2, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3414940956&tx=TT434TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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 ## Description * 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.