Data Governance Lead

Blue Orange Digital
Madrid, Spain
6 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience required
7 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Microsoft Azure Microsoft Online Services Data Architecture Data Governance Data Infrastructure Data Warehousing Meta-Data Management SAP (Applications) Data Classification Azure Data Factory Snowflake
+8 more
Build Management Microsoft Fabric Data Lineage SAP S/4HANA SAP MDG Data Management Virtual Agents Databricks

Job description

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 ( USD ) monthly Background checks may be required for certain positions/projects.Blue Orange Digital is an equal-opportunity employer.

Requirements

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 ( USD ) monthly Background checks may be required for certain positions/projects.

About the company

Madrid, España

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.

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