Lead Consultant Data Architecture & Engineering (GDC) role with opportunities for technical leadership, growth, and development in Azure technology, competitive compensation package, and flexible work location.
Requirements
- Leadership experience in technical teams
- Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
- Experience with multiple full life-cycle data warehouse implementations
- Understanding of data architectures required to support data integration processing
- Experience with data modeling technologies such as ER/Studio, ER/Win or similar
- Experience with Microsoft Azure Data Platform services
- Demonstrated ability to quickly learn, adopt and apply new technologies
- Data profiling and creation of source-to-target mappings
- Ability to provision and configure Azure data service resources
- Python & SQL Scripting
- SQL, PySpark
- General Cloud Architecture competency skillset
- API Knowledge
- Microsoft Fabric
- Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
- Experience creating strategies to migrate customers from on-premise environments to Azure
- Power BI and semantic modeling
- AWS Glue & Azure Data Factory
- AWS S3 & Azure Blob
- AWS Athena & Azure Databricks
- AWS Redshift & Azure Synapse
- AWS ECS & Azure AKS
Benefits
- Competitive compensation package
- Allowance
- Standard benefits
- Quarterly and annual performance-based cash bonuses
- Other remuneration