Management Information System Engineer

At HUB International, we are a team of entrepreneurs. We believe in protecting and supporting the aspirations of individuals, families, and businesses. We help our clients evaluate their risks and develop solutions tailored to their needs. We believe in empowering our employees to learn, grow, and make a difference. Our structure enables our teams to maintain their own unique, regional culture while leveraging support and resources from our corporate centers of excellence.

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business insurance, employee benefits, risk services, personal insurance, retirement, and private wealth management products and services. With over $5 billion in revenue and almost 20,000 employees in 600 offices throughout North America, HUB has grown substantially, in part due to our industry leading success in mergers and acquisitions

• HUB International is seeking an Information Management Engineer, on our Enterprise Data & Analytics team. The Information Management Engineer, will primarily be responsible for the metadata management and engineering of the MDM platform of our Enterprise Data & Analytics environment.
• This role will work closely with our Business Data Enablement and Data Governance teams to support our master data management efforts.

• 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 Big Query
• 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

• 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
• Microsoft Certified Professional in the Azure Data Engineering track is strongly preferred; GCP Professional Data Engineer certification is a plus
• 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…