Data Stewart - Python

Job Title: Data Stewart - Python

Location: Bolingbrook IL (Onsite role - 3 days biweekly)

Mandatory skill: Data Steward: Power BI development skill set, advanced SQL, DAGs/Airflow/Composer, Spark, Python, Collibra DQ

Job Description: The Enterprise Data Steward is responsible for ensuring that data governance best practices are embedded across all ~30 workstreams and their corresponding system(s) involved in the Loyalty Platform Re-platforming & Migration Project. The steward will enable data integrity, quality, and traceability across the data flow from upstream sources through the data lake to enterprise reporting layers.

Primary Scope Of Responsibilities Includes

• Source-to-Target Mapping (STTM) Oversight
• Business Glossary & Metadata Definitions
• Data Quality Requirements Documentation & Validation
• Data Lineage Documentation
• Governance Documentation Consolidation for Audit Readiness
  
  

RACI Matrix - Key Responsibilities

The following summarizes the RACI roles for key governance deliverables:

Source-to-Target Mapping (STTM): A/R (Data Steward), R (Workstream Leads), C (SMEs), R (ETL)

Business Glossary & Metadata: A/R (Data Steward), R (SMEs), C (Workstream Leads), C (ETL)

Data Quality Requirements: A/R (Data Steward), R (SMEs), C (Workstream Leads), C (ETL)

Data Quality Rules Validation: A/R (Data Steward), R/C (SMEs)

Data Lineage Documentation: A/R (Data Steward), C (SMEs), C (Workstream Leads)

Issue Triage & Remediation: A/R (Data Steward), R (SMEs), C (Workstream Leads)

Governance Documentation (Audit): A/R (Data Steward), C (All Teams)

Deliverables Checklist by Project Phase

Initiation / Planning

Identify Workstream Data Governance Points of Contact

Develop Data Governance Engagement Plan

Define Initial Business Glossary Scope

Create High-Level Data Flow Diagrams

Design

Facilitate STTM Documentation

Collect Metadata & Glossary Definitions

Document Data Quality Requirements

Establish Data Lineage Framework

Maintain Governance Deliverables Tracker

Build / Development

Review and Validate STTM Deliverables

Validate Data Quality Rule Implementation

Document Data Lineage

Track Governance Gaps & Issues

Testing

Support Data Quality Validation (SIT/UAT)

Coordinate Data Quality Issue Triage & Remediation

Deployment / Post Go-Live

Finalize Governance Documentation (ex: Business Glossary, STTM)

Ensure Post-Go-Live Data Quality Monitoring Processes