Work on Azure-focused projects to grow skills in Microsoft and Azure
Engage in building and implementing data architectures and models
Collaborate with teams to provide solutions that exceed client expectations and maintain high technical standards

Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
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 including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
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
Capable of taking requirements building out data pipelines
API Knowledge is required, but preference given to candidates who can create APIs

Senior Consultant – Data Architecture, Engineering

Key skills