Amazon Web Services (AWS), Analysis Skills, Bridge Building, Cataloguing, Cloud Computing, Computer Science, Data Analysis, Data Management, Data Mapping, Data Quality, Data Warehousing, Database Administration, Database Analysis, Maintain Compliance, Metadata, Microsoft Windows Azure, Multiplatform/Cross-Platform, Onboarding, Problem Solving Skills, Property and Casualty Insurance, Risk Management, Root Cause Analysis, SQL Databases, Systems Engineering, Technical Leadership, Technical Writing, Traceability
Job Summary
We are seeking a technically focused Data Steward / Data Custodian responsible for managing technical metadata, lineage analysis, data traceability, and data remediation activities across enterprise data platforms.
This role acts as the bridge between Data Governance and Engineering teams, ensuring technical data assets are accurately documented, connected, and maintained.
The ideal candidate will have strong database and data analysis skills, along with hands-on experience supporting data governance initiatives within the Property & Casualty Insurance domain.
Key Responsibilities
- Document and maintain technical metadata across enterprise data assets.
- Perform end-to-end data lineage analysis and lineage stitching across source-to-target systems.
- Analyze data quality issues and operational data problems.
- Support data remediation efforts in collaboration with engineering and business teams.
- Validate data movement and transformations across systems.
- Assist with metadata onboarding and governance initiatives.
- Support root cause analysis for data incidents and data quality issues.
- Work closely with Data Engineers to improve traceability and data transparency.
- Develop and maintain technical documentation and lineage artifacts.
- Support audit, compliance, and risk management requirements.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 5+ years of experience in Data Management, Data Governance, Data Engineering, or Data Analysis.
- Strong experience with:
- Technical metadata documentation
- Data lineage analysis
- Lineage stitching
- Data issue analysis and remediation
- Strong SQL and database expertise.
- Experience working with cloud data platforms and data warehouses.
- Experience in Property & Casualty Insurance.
Preferred Qualifications
- Experience with Databricks, Snowflake, Azure, AWS, or similar platforms.
- Familiarity with Collibra and data cataloging tools.
- Experience supporting enterprise data governance programs.
Key Skills
- Technical Metadata, Data Lineage, Data Mapping, SQL, Database Management, Root Cause Analysis, Data Remediation, Data Governance, Property & Casualty Insurance