Master Data Management Engineer

HUB International is a global insurance and employee benefits broker dedicated to supporting the aspirations of individuals, families, and businesses. The Master Data Management Engineer will be responsible for metadata management and engineering of the MDM platform, working closely with Business Data Enablement and Data Governance teams to enhance master data management efforts.

Responsibilities:

• Design and maintain master data models across multiple data domains
• Build and maintain relationship models between entities (e.g., Account, Contact, Product etc)
• Design and implement inbound and outbound integration pipelines between Profisee (MDM tool or any other MDM solution) and source/target systems (ERP, CRM, data warehouses)
• Integrate Profisee with cloud platforms including Azure Data Factory, Azure SQL, and BigQuery
• Build and maintain YAML-based object configuration files for source system mappings and field transformations
• Establish and maintain data stewardship workflows aligned to business ownership
• Plan, coordinate, develop and support master data management efforts including establishing new best practices in Azure Purview and GCP Dataplex environments
• Experience in performance engineering with Azure and GCP toolsets
• Develop cross validation rules to ensure information accuracy
• Define technical approach documents (define calculated logic, process flow)
• Meet business requirements of the projects as new data sources are added
• Experience in handling structured & unstructured data
• Expertise in Data Governance & Data Quality Services (including profiling, metadata management, data lineage) on Azure and GCP will be of critical advantage
• Provide regular project updates to shared team resources and management as needed
• Communicate issues, risks, and concerns proactively to management and engage colleagues while working in a hybrid Agile/Scrum process
• Document metadata in Azure Purview and GCP Dataplex thoroughly to allow peers to assist with support as needed
• Provide technical assistance and task delegation to a flexible team of staff engineers, consultants, and interns in close coordination with team Managers and Directors

Requirements:

• 5-10 years of experience in progressive data analyst and engineering roles
• Strong knowledge of structured and unstructured datasets
• Ability to set up and automate Azure Purview and GCP Dataplex platform-related activities using established connection methods
• Bachelor's degree in computer science or related field and five plus years' experience in information technology or equivalent progressive experience with data engineering and data warehouse technologies with a focus on Azure and GCP platforms in the past five years to present
• Knowledge of best practices in enterprise wide information management implementation, availability and security configuration
• Advanced experience with Azure data warehouse technologies including Azure Data Factory, Azure Synapse Analytics, Azure SQL DB, Azure Logic Apps, Azure Analysis Services, and Azure Databricks; experience with GCP equivalents including BigQuery, Dataflow, Cloud Composer, and Dataplex is strongly preferred
• Advanced understanding and comprehension of XML and XMLA
• Knowledge and direct experience working with Azure Purview, Azure DevOps (formerly MTFS), SharePoint, PowerApps, and the M365 platform; experience with GCP tools including Vertex AI, BigQuery, and Cloud Composer is a plus
• Ability to function under close deadlines with minimal supervision and under potentially stressful situations
• Superior oral and written communication skills; capacity to explain complex solutions to non-technical business, process, and solution owner-partners internally, along with corporate executives, directors, managers, staff, and contractors
• Both educate and inform to a wide range of audiences; advanced documentation skills to track feedback and action items through the entire project lifecycle
• Nights, weekends, and non-regular hours may be required to deploy and make ready solutions that require support and collaboration from resources globally
• Microsoft Certified Professional in the Azure Data Engineering track is strongly preferred; GCP Professional Data Engineer certification is a plus