Senior Data Engineer: Privacy, Protection & AI Automation

100 Raymond James & Associates, Inc.

Saint Petersburg (FL)

Hybrid

USD 110,000 - 170,000

Full time

3 days ago

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Job summary

Raymond James is seeking a Senior Data Engineer to drive enterprise data privacy and protection initiatives across on-premises and cloud environments. The role emphasizes AI-enabled automation, data discovery, and governance, with leadership responsibilities across technical teams. The position operates in a hybrid model, requiring in-office presence in St.

Petersburg, FL three days per week. Candidates should have 8+ years in privacy data engineering and related fields, plus strong programming

Qualifications

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
Expert level experience with enterprise platforms OneTrust, Informatica DPM, Informatica TDM, or BigID.
Expert level experience Python, Java, PowerShell, SQL, or API development.
Experience building automation solutions leveraging AI and Generative AI technologies.
Experience supporting enterprise cybersecurity and privacy programs.
Familiarity with DevOps, CI/CD, Infrastructure as Code, and cloud-native architectures.
8+ years of experience in Privacy Data Engineering, Data Security, and Data Protection disciplines.
Proven experience leading enterprise-scale data privacy and data protection initiatives.

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.