Washington Staffing
Senior Data Engineer - Fabric Data and Semantic Models
Washington Staffing, Redmond, Washington, United States, 98052
Data Innovator Opportunity
Imagine being at the forefront of a revolution powered by data and AI, transforming marketing at Microsoft into a true "Frontier Organization" that drives impact at an unprecedented scale. As part of the Global Marketing Data Engineering team, you will have the opportunity to build cutting-edge data platforms that process and synthesize billions of demand signals, enabling personalized customer journeys, media innovation, and high impact campaigns that redefine customer engagement. By crafting data products that integrate, enrich, and serve deep insights across an infinite number of scenarios, you are not only shaping the future but experiencing it firsthand as we directly contribute to the evolution of our most advanced technologies like Purview and Fabric. Join us to unleash your potential and play a pivotal role as a data innovator with world-changing impact - your journey starts here! 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities
Lead, own, and drive data acquisition, ETL processing, and product development for commercial marketing data products to enable critical analytical insights and campaign performance measurement. Build scalable and performant semantic models using Microsoft Fabric Platform and develop metrics and insights using DAX calculations. Curate a healthy backlog of capabilities and features for your data products and drive delivery of the backlog through vendor teams. Be the SME of your data domain and the single accountable POC owning the delivery of high-quality data product that meets customer needs. Drive end-to-end data architecture, data modeling, design, build, and delivery for your data products/models. Coordinate with source data owners to obtain access and identify data handling and security requirements. Develop proof-of-concept tools to validate connectivity, throughput, correctness, and limitations of those data sources. Work closely with Technical PMs, stakeholders, analysts, and data scientists to define the data strategy that best meets their needs. Collaborate with peer developers, data architects, source partner engineering team, and data operations to implement successful solutions. Create data quality and monitoring for key end to end data flows to ensure data reliability and issue visibility and responsiveness. Contribute to enhancing the architecture, design principles, and framework through inputs and feedback from domain specific scenarios and use cases. Embody our culture and values. 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+ year(s) experience in business analytics, data science, software development, or data engineering work. OR equivalent experience. 4+ years of experience with software development in big data, with 2+ years experience as a development lead managing big data platforms. Experience developing and using Azure Data stack (Synapse, ADB, ADF, Cosmos, Azure Data explorer, Fabric) and data visualization tools. Experience with data architecture, data modeling, designing, and building data pipelines for operational, advanced analytics, and AI agent/ML workloads. Experience in setting up and running Agile/Scrum teams (including ADO or similar for example) set up, estimation, planning, and tracking burn downs. Familiarity and experience with secure development practices and implementing privacy compliant data processing, storage, and access solutions. Additional or Preferred Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ 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 6+ years of business analytics, data science, software development, data modeling, or data engineering work experience. OR equivalent experience. 2+ years of experience managing execution through vendor teams. Previous experience in digital media, marketing, Adobe suite of products, web analytics, or any in-house Microsoft data platforms is a plus. Demonstrated ability to work independently across organization partnering with technical and non-technical audience, comfortable making tough decisions based on qualitative and quantitative inputs.
Imagine being at the forefront of a revolution powered by data and AI, transforming marketing at Microsoft into a true "Frontier Organization" that drives impact at an unprecedented scale. As part of the Global Marketing Data Engineering team, you will have the opportunity to build cutting-edge data platforms that process and synthesize billions of demand signals, enabling personalized customer journeys, media innovation, and high impact campaigns that redefine customer engagement. By crafting data products that integrate, enrich, and serve deep insights across an infinite number of scenarios, you are not only shaping the future but experiencing it firsthand as we directly contribute to the evolution of our most advanced technologies like Purview and Fabric. Join us to unleash your potential and play a pivotal role as a data innovator with world-changing impact - your journey starts here! 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities
Lead, own, and drive data acquisition, ETL processing, and product development for commercial marketing data products to enable critical analytical insights and campaign performance measurement. Build scalable and performant semantic models using Microsoft Fabric Platform and develop metrics and insights using DAX calculations. Curate a healthy backlog of capabilities and features for your data products and drive delivery of the backlog through vendor teams. Be the SME of your data domain and the single accountable POC owning the delivery of high-quality data product that meets customer needs. Drive end-to-end data architecture, data modeling, design, build, and delivery for your data products/models. Coordinate with source data owners to obtain access and identify data handling and security requirements. Develop proof-of-concept tools to validate connectivity, throughput, correctness, and limitations of those data sources. Work closely with Technical PMs, stakeholders, analysts, and data scientists to define the data strategy that best meets their needs. Collaborate with peer developers, data architects, source partner engineering team, and data operations to implement successful solutions. Create data quality and monitoring for key end to end data flows to ensure data reliability and issue visibility and responsiveness. Contribute to enhancing the architecture, design principles, and framework through inputs and feedback from domain specific scenarios and use cases. Embody our culture and values. 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+ year(s) experience in business analytics, data science, software development, or data engineering work. OR equivalent experience. 4+ years of experience with software development in big data, with 2+ years experience as a development lead managing big data platforms. Experience developing and using Azure Data stack (Synapse, ADB, ADF, Cosmos, Azure Data explorer, Fabric) and data visualization tools. Experience with data architecture, data modeling, designing, and building data pipelines for operational, advanced analytics, and AI agent/ML workloads. Experience in setting up and running Agile/Scrum teams (including ADO or similar for example) set up, estimation, planning, and tracking burn downs. Familiarity and experience with secure development practices and implementing privacy compliant data processing, storage, and access solutions. Additional or Preferred Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ 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 6+ years of business analytics, data science, software development, data modeling, or data engineering work experience. OR equivalent experience. 2+ years of experience managing execution through vendor teams. Previous experience in digital media, marketing, Adobe suite of products, web analytics, or any in-house Microsoft data platforms is a plus. Demonstrated ability to work independently across organization partnering with technical and non-technical audience, comfortable making tough decisions based on qualitative and quantitative inputs.