Data Governance Lead
Company overview:
Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.
Note: Please submit your resume in English, as all application materials must be in English for review and consideration.
Position overview:
Blue Orange Digital is seeking a Senior Data Governance Lead for a part-time advisory role spanning Weeks 2-18 of a 26-week enterprise data warehouse implementation for a global commodities trading and supply chain company. You will design and implement the data governance framework for a Microsoft Fabric platform built over fragmented legacy data - multiple regional ERPs, CTRM instances (including Irely), and a concurrent SAP S/4HANA finance transformation - spanning trading, risk, finance, and logistics data domains. This is a greenfield governance engagement with high influence and real production impact on a modern Fabric architecture.
Responsibilities:
Design and implement the enterprise data governance framework across OneLake and Fabric workspace layers, covering cataloging, lineage, ownership, and access control
Define and enforce data cataloging standards for Bronze/Silver/Gold assets including Lakehouse tables, Warehouse objects, and Semantic Model entities
Establish end-to-end data lineage tracking from source systems (ERP, CTRM, SAP) through transformation layers to final reporting data products
Develop and apply data quality rules and validation frameworks across ingestion and transformation layers, integrated with Fabric pipeline execution
Define naming conventions, data classification standards, and workspace-level access control policies in alignment with Fabric governance capabilities
Collaborate with SAP S/4HANA and CTRM integration workstreams to document source-system metadata and lineage for all key data domains
Develop and lead master data management strategy for key shared entities across trading, finance, and logistics domains
Produce governance documentation, data stewardship process guides, and training materials for client data owners and analysts
Requirements:
7+ years in data governance, data management, or data architecture with production governance framework implementations
Experience with Microsoft Azure or Fabric governance capabilities - Microsoft Purview a strong advantage for OneLake/Fabric cataloging and lineage
Strong background in data lineage, metadata management, and data quality frameworks at enterprise scale
Familiarity with financial or commodity trading data domains and the governance complexity of multi-source, cross-domain environments
Experience defining stewardship processes and working with business owners to operationalize governance policies
Bachelor's degree in a technical, data, or business field (or equivalent experience)
Preferred qualifications:
Hands-on Microsoft Purview experience for Fabric/Azure data cataloging, classification, and lineage scanning
Data governance certification (DAMA CDMP or equivalent)
Experience in financial services, commodity trading, or global supply chain data environments
Background in master data management across ERP and CTRM source systems (SAP MDG or similar a plus)
Salary: $ 5,500 - 6,500 [ USD ] monthly
Background checks may be required for certain positions/projects.
Blue Orange Digital is an equal-opportunity employer.
- Department
- Engineering
- Locations
- Multiple locations
- Remote status
- Fully Remote
- Monthly salary
- $5,500 - $6,500
About Blue Orange Digital
Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes. We partner with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions. Our team is fully remote, globally distributed, and driven by curiosity, impact, and innovation.