Senior Analytics Engineer

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 
 
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. 

​​Within Azure Data, the Insights and Analytics team is building and maintaining internal analytics and reporting platform running on Microsoft Fabric to provide instant insights to the Azure Data engineering team leadership, Product Managers and Engineers. The team also acts as a first customer of newly developed products and features running them in a production environment while working together with product managers and engineers on providing product development feedback. 
 
The Engineering team within the Azure Data Insights and Analytics organization is primarily responsible for maintaining and evolving our data platform.  The platform is based on Microsoft Fabric Lakehouses, Pipelines, Notebooks and Semantic models. Our team prioritizes code reduction, metadata driven orchestration, and proper source control.   
 
We are looking for a Senior Analytics Engineer who can work on evolving our platform with new technologies while also working towards ensuring reliable and performant operations. 

The Senior Analytics Engineer collaborates with appropriate stakeholders across teams and escalates concerns around data requirements by assessing and conducting feature estimation. Leads the design of a data model that is appropriate for the project and prepares design specification documents to model the flow and storage of data for a data pipeline. Identifies data sources and in collaboration with the data engineering team builds code to extract raw data from identified upstream sources. Plans and creates efficient semantic models to support standard reporting and ad hoc analytics needs. Performs root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement solutions that minimize points of failure. Anticipates the need for data governance and designs data modeling and data handling procedures, with direct support and partnership with Corporate, External, and Legal Affairs, to ensure compliance with applicable laws and policies across all aspects of the data pipeline. 
 
You will have the flexibility to deepen your expertise and grow in the areas that will help advance you in your career.  Day to day will consist of a typical standup, picking up work items as you have capacity, working with the team’s Program Managers and your business stakeholders on defining new projects or initiatives, and most importantly – designing and developing semantic models.  In addition, you will have direct interactions with the teams that are developing the tools that we work on, giving you the ability to provide direct product feedback and eventually see your feedback resulting in changes in the products. Our team’s goal is to report on the health of Azure Data products and contribute to the overall effectiveness and usefulness of our products. 
 

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• Lead the development of a new enterprise grade Power BI/Fabric semantic model supporting the business operations of Azure Data
• Work with the stakeholders of business operations team on translating business requirements to tabular modeling development requirements.  Iterate and finalize design, deliver working proofs of concept, and develop final data solution.
• Working through development/test/production environments ensure performance/reliability and validity of assets pushed to production. Ensure the availability of the business operations analytics assets. Create alerts and monitoring for minimizing time to detect issues and resolve them.
• Create curated Power BI reports in collaboration with the design experts of the Azure Data Insights and Analytics team.
• Work on continuously improving user experience by measuring and optimizing performance of the semantic model
• Work with the Data Engineering team on specifying data engineering requirements based on the semantic model designs and development requirements.
• Contribute to the success of Azure Data by trying out and testing new products and features, dedicating time to providing direct feedback to the Product Group. 
• Embody our and