The Senior Data Analytics Engineer role focuses on building and owning the data foundation for CSS Intelligence & Applied AI within the MCAPS-Core team. This position involves designing real-time and batch data pipelines, ensuring data quality, and creating a semantic layer for data consumption. The engineer will work closely with data scientists and applied AI engineers to turn experimental models into production services. The goal is to establish a reliable, governed data platform that supports AI-native decision systems and enhances customer outcomes.

• Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
• Deep SQL expertise and strong programming skills in Python, including experience with distributed processing frameworks such as Spark or PySpark.
• Experience building production data pipelines in both batch and streaming or near real-time modes, using platforms such as Microsoft Fabric, Azure Data Factory, Synapse, Databricks, or equivalent.
• Strong dimensional and semantic modeling skills, including star schema design and the discipline of certified, documented, single-definition measures.
• Experience implementing data quality and observability practices, including reconciliation testing and end-to-end lineage.

• Design and operate the data pipelines that feed CSS intelligence, including both batch processing and near real-time streams.
• Build and own the semantic layer that sits between raw data and consuming experiences, ensuring certified measures and documented definitions.
• Implement data quality and observability into the pipelines, including freshness stamps and lineage tracking.
• Collaborate with data scientists to productionize models and prepare data for AI consumption.
• Establish deployment, versioning, and documentation patterns for capabilities proven in CSS.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.