Create, champion and implement data modeling and architecture standards to support advanced analytics and reporting
Collaborate with analysts and stakeholders to understand data requirements and deliver robust data models
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory, Azure Synapse Analytics, Fabric and other Azure services.
Optimize and manage data storage solutions including Azure SQL Database and Azure Blob Storage
Develop and maintain documentation for data processes, architectures, and workflows.
Monitor and troubleshoot data pipelines and workflows to ensure optimal performance.

Proven experience as an Analytics Engineer or similar role, with a strong focus on Azure and Power BI
Experience developing and implementing data architecture within a cloud-based solution (ex Azure, Snowflake, AWS, GCP)
Experience with Microsoft Azure including Azure SQL Database and Azure Synapse Analytics
Experience with SQL, SQL Server, and DAX
Strong analytical and problem-solving skills balanced with a creative mindset

Experience in data lake or lakehouse development
Experience with implementing solutions in Microsoft Fabric
Experience in Power BI or other BI tools (ex Tableau, Looker, etc)
Experience using Python in developing analytics solutions
Microsoft Azure or Power BI Certifications

Bachelor's degree and a minimum of five years' experience in a full-time data analytics role or equivalent using Microsoft technologies. Prefer a major in computer science, information systems, information technology, software engineering, or related field of study.

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