Job description

Job Description Summary The Senior Data Engineer is a vital technical leader within the Enterprise Data Privacy & Protection organization, responsible for designing, implementing, and optimizing enterprise solutions supporting data discovery, data cataloging, data curation, privacy compliance, data protection, and automation initiatives across on-premises and cloud environments. This role requires deep expertise in privacy engineering, data protection technologies, data protection platforms, cloud and database technologies, and engineering automation. The ideal candidate possesses advanced problem-solving abilities, excellent communication skills, and the capability to lead technical initiatives that improve enterprise-wide data security, protection, and compliance. The role is expected to leverage emerging AI and Large Language Model (LLM) technologies to improve operational efficiency, privacy engineering productivity, data security, and data protection automation capabilities. Job Description 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 Education Bachelor’s: Computer and Information Science (Required) Work Experience General Experience - 6 to 10 years Certifications Travel Workstyle Hybrid The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com. At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm s core values of client-first, integrity, independence and a conservative, long-term view. We expect our associates at all levels to: • Grow professionally and inspire others to do the same • Work with and through others to achieve desired outcomes • Make prompt, pragmatic choices and act with the client in mind • Take ownership and hold themselves and others accountable for delivering results that matter • Contribute to the continuous evolution of the firm At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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Must-haves

Job Description Summary
The role is expected to leverage emerging AI and Large Language Model (LLM) technologies to improve operational efficiency, privacy engineering productivity, data security, and data protection automation capabilities.
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.
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.
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.
Certified Information Systems Security Professional (CISSP)

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aillmsqlawsazurepythonjavaapici/cd

Platform: workday
Effort: long

Benefits

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Vision

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Parental Leave