Lead Data Governance Engineer

About the Project :

We are engaging with a key customer to build and operationalize their Enterprise Data Platform (EDP). This strategic initiative aims to mature their data and analytics capabilities across the organization. The project involves building a robust data platform, establishing a new operating model, and delivering foundational data products. You will be working closely with the customer to fill critical gaps in architecture, governance, security, and data product delivery, with a specific focus on Master Data Management (MDM) and comprehensive Data Quality .

What You'll Do (Responsibilities) :

As a Senior Data Governance & Platform Engineer, you will be a hands-on contributor across all facets of the project, specifically leading the implementation of master data and quality frameworks :

• Platform Foundations (Reference Architecture & DataOps) : Collaborate on the design and implementation of a consolidated EDP reference architecture. You will be responsible for building out and hardening the platform’s core components using Azure Synapse, Azure Databricks, and Azure Data Lake Storage (ADLS). You will help define and implement a DataOps model, including CI / CD pipelines, environments, and observability.
• Master Data Management (MDM) & Quality Leadership (NEW FOCUS) :

MDM Solutioning : Design, model, and configure the core components of the Master Data Management solution (Golden Record definition, matching / merging rules, hierarchy management) for critical domains (e.G., Customer, Product, Vendor).

Data Quality Automation : Define, implement, and monitor automated data quality checks (completeness, conformity, accuracy) directly within the ingestion and transformation pipelines (Bronze to Gold layers).

Data Quality Scorecards : Establish and maintain Data Quality scorecards and dashboards, reporting metrics to Data Stewards and business stakeholders via tools like Azure Purview.

What We're Looking For (Required Skills & Experience) :

We are seeking hands-on data engineers with a passion for building robust, well-governed, and secure data platforms. A strong candidate for this team will have :

Master Data Management : Practical experience designing and implementing MDM solutions, including experience with MDM concepts (match, merge, survive, hierarchy management) and familiarity with MDM platforms (e.G., Microsoft MDS).

Data Quality Analyst Skills : Expertise in defining, implementing, and monitoring DQ rules. Strong ability to profile source data, identify data issues, and track metrics like data freshness, accuracy, and completeness.

Qualifications :