Data Steward (Custodian)

Promantis Inc
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Amazon Web Services (AWS)
Data analysis
Azure
Information Systems
Databases
Information Engineering
Data Governance
ETL
Data Mapping
Data Warehousing
Metadata
Meta-Data Management
Operational Data Store
Cloud Services
Standard Sql
Technical Data Management Systems
Enterprise Data Management
Snowflake
Information Technology
Data Lineage
Collibra
Data Management
Databricks

Job description

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., * 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.

Requirements

The ideal candidate will possess strong database and data analysis skills, along with hands-on experience supporting data governance initiatives within Property & Casualty Insurance., * 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., * 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

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