Senior Analytics Engineer

1 Month ago • 3-7 Years • Data Analyst • $117,200 PA - $250,200 PA

Job Summary

Job Description

The Senior Analytics Engineer at Microsoft's Azure Data engineering team will be responsible for evolving the internal analytics and reporting platform built on Microsoft Fabric. Responsibilities include designing data models, building data pipelines, creating semantic models for reporting and ad-hoc analytics, performing root cause analysis, and ensuring data governance compliance. The role requires collaboration with stakeholders across teams, providing product feedback, and contributing to the overall effectiveness of Azure Data products. The engineer will work with technologies like Lakehouses, Pipelines, Notebooks, and semantic models, prioritizing code reduction and metadata-driven orchestration.
Must have:
  • Relational modeling
  • Tabular semantic models
  • Translating business requirements
  • Power BI, DAX, T-SQL or Spark
  • Data pipeline development
  • Root cause analysis
Good to have:
  • Microsoft Fabric, Azure Data Factory, Azure Synapse
  • GIT, CI/CD
  • Azure DevOps
  • Data governance

Job Details

Overview

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 platformThe 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 careerDay 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 modelsIn 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. 
 

 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. 

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required/Minimum Qualifications 

  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling or data engineering work
    • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
    • OR equivalent experience
  • 3+years knowledge of relational modeling concepts, structured and Microsoft tabular semantic models
  • 3+ years experience translating business requirements to technical requirements
  • 3+ years of experience, with Power BI, tabular development, DAX, and T-SQL or Spark/Spark SQL/PySpark/Scala

Other Requirements 

 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

 

Preferred/Additional Qualifications 

  • Intermediate knowledge and experience with Microsoft data tools including Microsoft Fabric, Azure Data Factory, Azure Synapse
  • Experience on managing analytics projects independently
  • Intermediate knowledge and experience with GIT operations and CI/CD flows
  • Advanced experience using a work management tool such as Azure DevOps
  • Advanced experience in time management and prioritization 

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until May 8, 2025.

 

#azdat #azuredata #powerbi #fabric #analytics 

Responsibilities

  • 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 requirementsIterate 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  

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