SAP Data Lineage and Cataloging Specialist

  • Richardson, TX
  • Posted 10 hours ago | Updated 10 hours ago

Overview

On Site
USD 45.00 - 50.00 per hour
Contract - W2
Contract - Independent

Skills

Employment Authorization
Management
Data-flow Analysis
Data Flow
Optimization
SAP MM
SD
SAP FICO
Data Structure
Business Rules
Process Improvement
Clarity
Technical Support
Decision-making
Knowledge Sharing
Training
Documentation
Meta-data Management
Data Science
FOCUS
SAP ERP
SAP BI
SAP BODS
Informatica
Data Integration
Migration
Data Governance
Analytical Skill
Problem Solving
Conflict Resolution
Communication
Collaboration
SAP HANA
SAP
Scripting
Data Management
Snow Flake Schema
Databricks
Extract
Transform
Load
Alteryx
Data Visualization
Microsoft Power BI
Tableau
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

Job Title: SAP Data Lineage and Cataloging Specialist

Location: U.S. Based (Remote)

Work Authorization: Must be authorized to work in the U.S.

Position Summary:

Are you passionate about uncovering the story behind data and ensuring its seamless flow across systems? We're seeking a skilled SAP Data Lineage and Cataloging Specialist to lead technical data lineage and cataloging efforts within SAP systems. This role is critical in documenting data transformations, building a comprehensive data catalog, and driving transparency across the enterprise data landscape.

Key Responsibilities:

Data Cataloging:
  • Build and maintain a detailed data catalog for SAP systems.
  • Document data definitions, field mappings, business rules, and relationships between data assets.

Technical Data Lineage:
  • Define and document end-to-end technical lineage of SAP data across modules and integrated systems.

Metadata Management:
  • Collaborate with business and technical teams to collect, standardize, and manage metadata.

Data Governance:
  • Establish and enforce standards for data cataloging, lineage documentation, and metadata management.

Data Flow Analysis:
  • Analyze data flows and dependencies to identify inefficiencies, redundancies, or gaps.
  • Recommend optimization strategies.

Collaboration with SAP Functional Teams:
  • Partner with SAP MM, SD, FICO, and other teams to understand data structures and business rules.

Process Improvement:
  • Continuously improve cataloging and lineage documentation processes for greater clarity and efficiency.

Stakeholder Support:
  • Provide technical support and insights to stakeholders for better decision-making.

Documentation & Knowledge Sharing:
  • Develop clear documentation and training materials to support data governance practices.


What You Will Learn:
  • Advanced techniques in data cataloging and lineage documentation.
  • Data governance frameworks and best practices.
  • Cross-functional collaboration with business and technical teams.
  • Problem-solving in complex data ecosystems.
  • Hands-on experience with metadata management tools.
  • How data lineage supports strategic business decisions.


Requirements

Education & Experience:
  • Degree in Technology, Engineering, or Data Science (or equivalent experience).
  • Minimum of 2 years of relevant experience, or an advanced degree in a related field.
  • In absence of a degree, 6 years of relevant experience.


Required Qualifications:
  • 3-5 years of experience in SAP data management with a focus on data governance.
  • Strong knowledge of SAP modules (ECC, S/4HANA, BW, etc.).
  • Experience with data cataloging and lineage tools (e.g., SAP Data Services, Informatica).
  • Familiarity with data integration, migration, and transformation in SAP environments.
  • Solid understanding of data governance principles.
  • Strong analytical and problem-solving skills.
  • Excellent communication and cross-functional collaboration skills.


Preferred Skills:
  • Experience with SAP S/4HANA.
  • SAP Data Management certifications.
  • Scripting or automation tools for data management.
  • Experience with Snowflake, Databricks, or other data lakes.
  • Familiarity with ETL tools (e.g., Matillion, Alteryx).
  • Knowledge of data visualization tools (e.g., Power BI, Tableau).


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