Data Protection Engineer

Sr Data Protection Engineer, Fortune Insurance Company, 165k plus bonus, Manhattan

3 days on site

MUST HAVE STRONG PYTHON/SQL SKILLSET

MUST BE ABLE TO PASS TECHNICAL ASSESSMENT

STRONG MASKING/DATA PROTECTION BACKGROUND

US CITIZEN OR GREEN ONLY, NO EXCEPTIONS

Data Protection Engineer plays a key role in advancing data governance & data protection initiatives. This individual contributor role is responsible for designing, implementing, and optimizing data protection solutions and data governance workflows using platforms such as Databricks, Securiti.ai, Anomalo, & Atlan.

Working closely with data governance analysts, product managers, and business/technology teams, the data protection engineer delivers capabilities like data scanning for PII/PHI detection, data protection using tokenization/masking and data risk measurement, monitoring and mitigation; supporting Data Strategy and enabling timely, data-driven decisions built on trusted information.

What You’ll Do:

• Develop and maintain automated data protection routines for democratized enterprise data lakes in AWS (RedShift, DataBricks) & GCP (BigQuery, PostgreSQL), for both structured & unstructured data.
• Configure, test, and maintain Databricks, Anomalo, Atlan, Securiti.ai platform functionality, including building custom connectors and running BAU platform operations.
• Build hands-on solutions, prototypes, dashboards, or lightweight applications using Python, SQL, Streamlit, Databricks, and related tools.
• Collaborate with stakeholders to define data protection requirements for critical data elements and support remediation prioritization
• Create clear documentation and reporting to communicate findings, standards, and recommendations.
• Drive adoption of governance tools through road-shows, training sessions, user enablement, and data owner/steward playbooks.
• Participate in Agile ceremonies by contributing to backlog building and sprint events in Jira.

What You’ll Bring:

• 5–7+ years of professional experience, including 2-3+ years in a data protection function.
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Strong understanding of data governance frameworks, data protection & remediation, tagging, data quality and metadata management concepts.
• Excellent communication and collaboration skills and experience working across business and technical teams.
• Strong proficiency with SQL, Python and data modeling/analysis concepts.
• Excellent communication, documentation, and stakeholder management skills.

Required Skills:

• Hands-on experience with DataBricks, Securiti.ai, Anomalo, Atlan, or similar data governance/protection tools.
• Prior experience with rollouts for data protection routines for PII/PHI structured & unstructured data with be a stand-out skill
• Working in Agile environments using Jira, Confluence, and SharePoint.
• Understanding of security and authentication patterns (AWS Secrets manager etc.) protection algorithms (tokenization/masking etc.)
• Backend Development (Postgres DB, Data Modelling, Query optimization and indexing, Connection pooling, Strong SQL skills with the ability to analyze and validate data lineage etc.,)
• Software development skills incl. but not limited to solutions design, deployment management (SDLC patterns, CI CD, leveraging Harness etc.) & testing (Unit testing, Integration testing, test automation, test suites etc.)

Preferred Skills:

• Prior experience with DSPM initiatives
• Exposure to AI-enabled governance accelerators, metadata enrichment, cataloging. Use tools such as ChatGPT, Claude, and similar applications for research, document analysis, summarization, workflow automation, QA, and prototyping.
• Experience supporting data modernization or cloud migration initiatives in enterprise settings.