5 дней назад
Senior Data Engineer, Enterprise Data and Protection (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer, Enterprise Data and Protection (AI): Designing and operating enterprise data discovery, cataloging, privacy, protection, and automation solutions across on-premises and cloud platforms with an accent on data masking, tokenization, anonymization, and regulatory compliance. Focus on leading privacy engineering initiatives, integrating AI and generative AI into data workflows, and solving complex scalability, security, and governance challenges.
Location: Hybrid role requiring office attendance three days per week in St. Petersburg, Florida, United States
Company
is a financial services firm focused on client-first values, integrity, independence, and long-term decision-making.
What you will do
- Lead enterprise data discovery, classification, cataloging, privacy, and protection initiatives across on-premises and cloud platforms.
- Design and support data masking, tokenization, anonymization, and sensitive data management solutions.
- Engineer and optimize database and cloud platforms including Oracle, SQL Server, AWS, and Azure.
- Build scalable automation using scripting, APIs, workflows, AI, and generative AI technologies.
- Partner with Technology, Cybersecurity, Risk, Governance, and Compliance teams to meet regulatory and data protection requirements.
- Lead technical design discussions, mentor team members, and maintain architecture documentation and operational standards.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Information Security, or a related technical field.
- 8+ years of experience in privacy data engineering, data security, data protection, or related technology disciplines.
- Expert experience with at least one enterprise platform such as OneTrust, Informatica DPM, Informatica TDM, BigID, or a similar solution.
- Expert experience with Python, Java, PowerShell, SQL, or API development.
- Experience building automation solutions with AI and generative AI, and supporting enterprise cybersecurity and privacy programs.
- Familiarity with DevOps, CI/CD, infrastructure as code, cloud-native architectures, and enterprise-scale privacy initiatives.
Nice to have
- IAPP CIPP, CIPT, or CIPM certification.
- CISSP certification.
- Microsoft Azure Data Engineer Associate, AWS Certified Data Engineer, Snowflake, Informatica, or other data protection and privacy certifications.
Culture & Benefits
- Benefits may include medical, dental, and vision insurance, life insurance, disability benefits, and retirement savings.
- Paid time off may include vacation, holidays, sick leave, and parental leave.
- Work culture emphasizes professional growth, collaboration, accountability, continuous improvement, and respect for individual backgrounds.
- Work visa sponsorship is not available currently or in the future.
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