Data Modeler

Tasks

• Assist data model planning
• Assist in Azure data platform semantic layer mapping lineage
• Collaborate with business and technology experts to develop data models
• Deliver data education and training for data platform adoption
• Design high availability connectivity and disaster recovery
• Develop maintain publish data models
• Ensure data model security policy compliance
• Ensure designs comply with architecture principles
• Identify data system integration dependencies
• Instantiate physical data models and optimize data performance
• Present data solution tradeoffs to business
• Provide technical advice and support for data models and schemas
• Research analyze and recommend data model design and delivery
• Resolve data issues impacting service level agreements
• Review test and support data model mappings and pipeline solutions
• Support RFP technical requirements
• Support data governance data quality and metadata
• Support data ingestion data standardization data integration and data consumption requirements
• Support data integration standard naming conventions reference data and metadata
• Write technical proposals reports and manuals

Perks/Benefits

• N/A

Skills/Tech-stack

Agile | Azure Blob | Azure Blob Storage | Azure Cloud | Azure Cloud Platform | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Stream | Azure Stream Analytics | Azure Synapse | Azure Synapse Analytics | Blob Storage | Cloud platform | Cosmos DB | Data Factory | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Data integration | Database Design | Database Performance Optimization | Database performance | Databricks | Disaster Recovery | High Availability | Metadata Management | Performance optimization | Semantic layer | Stream Analytics | Synapse Analytics