Responsabilidades e atribuições
Come work for a large global financial and insurance products company!
This is your chance !!
Start a successful career in a renowned company in the international market!
Great opportunity!
Global insurance and asset management company seeks a responsible, organized, dynamic and team-oriented person
- We are seeking an experienced Data Modeling Specialist to design, develop, and maintain enterprise data models that support modern analytics, reporting, AI, and operational data solutions
- This role will be responsible for creating and governing conceptual, logical, and physical data models across cloud and on-premise platforms, including Azure Synapse Analytics, Oracle, and Databricks
- The ideal candidate will possess deep expertise in data architecture, data modeling standards, metadata management, data lineage, and governance practices
- The role will partner closely with Data Engineers, Solution Architects, Business Analysts, Governance teams, and Data Product Owners to ensure consistent, scalable, and business-aligned data designs
- Key ResponsibilitiesData Modeling:Design and maintain enterprise conceptual, logical, and physical data models
- Develop dimensional, normalized, and hybrid data models supporting analytics and operational workloads
- Translate business requirements into scalable and maintainable data structures
- Create subject area models, canonical data models, and data domain structures
- Ensure alignment of data models with enterprise architecture and business capabilities
- Platform-Specific Data DesignAzure Synapse Analytics:Design dimensional and reporting models optimized for Synapse dedicated and serverless environments
- Define partitioning, distribution, and performance optimization strategies
- Support data warehouse and lakehouse architectures
- Databricks:Model data structures supporting Lakehouse architectures
- Design Bronze, Silver, and Gold layer data models
- Support Delta Lake implementations and data product development
- Collaborate with Data Engineering teams to optimize model performance and scalability
- Oracle:Design and maintain normalized operational data models
- Support transactional and analytical databases
- Define indexing, partitioning, and performance optimization standards
- Collaborate with database administrators to ensure efficient physical database implementations
- Data Mapping and Integration:Create and maintain source-to-target mapping documentation
- Define transformation rules and business logic for data integration solutions
- Support data migration, modernization, and cloud transformation initiatives
- Work with Data Engineers to ensure accurate implementation of data models and mappings
- Validate data integrity across inbound and outbound interfaces
- Data Governance and Metadata Management:Support enterprise data governance initiatives
- Define and maintain business and technical metadata
- Establish and document data standards and naming conventions
- Support data stewardship activities and governance reviews
- Ensure compliance with enterprise data management policies and regulatory requirements
- Data Lineage and Data Quality:Document end-to-end data lineage from source systems through consumption layers
- Support implementation of lineage management tools and processes
- Partner with governance teams to improve data transparency and traceability
- Define data quality rules, standards, and validation requirements
- Assist in root-cause analysis of data quality issues
- Collaboration and Leadership:Partner with Business Analysts, Data Architects, Data Engineers, and Solution Architects
- Participate in architecture reviews and solution design workshops
- Provide guidance on data modeling best practices and standards
- Mentor junior team members in data architecture and modeling disciplines
- Promote data management and governance best practices across the organization
