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, Insurance, Maintain Compliance, Metadata, Microsoft Windows Azure, Multiplatform/Cross-Platform, Onboarding, Property and Casualty Insurance, Risk Management, Root Cause Analysis, SQL (Structured Query Language), Systems Engineering, Technical Leadership, Technical Writing, Traceability
Work Location: Remote, US
Pay Range: Up to $115K/Yr Base + Annual Bonus
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate''s skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
For more information on benefits and what we offer please visit us at US Careers and Benefits
We are seeking a technically focused Data Steward (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 possess strong database and data analysis skills, along with hands-on experience supporting data governance initiatives within Property & Casualty Insurance.
Required Qualifications
Bachelor''s degree in Computer Science, Information Systems, Engineering, or 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 & 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
- P&C Insurance
- Document and maintain technical metadata across enterprise data assets.
- Perform end-to-end lineage analysis and lineage stitching across source-to-target systems.
- Analyze data quality and operational data issues.
- 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 quality issues.
- Work with Data Engineers to improve traceability and data transparency.
- Develop and maintain technical documentation and lineage artifacts.
- Support audit, compliance, and risk management requirements.
- Document and maintain technical metadata across enterprise data assets.
- Perform end-to-end lineage analysis and lineage stitching across source-to-target systems.
- Analyze data quality and operational data issues.
- 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 quality issues.
- Work with Data Engineers to improve traceability and data transparency.
- Develop and maintain technical documentation and lineage artifacts.
- Support audit, compliance, and risk management requirements.