Data Pipeline Engineer

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. In the Customer Service & Support (CSS) team, we are looking for a Data Pipeline Engineer with a passion for building reliable, scalable data platforms that support business intelligence, analytics, and data science initiatives. In this role, you will design, develop, and operate data pipelines that ingest, transform, and deliver high-quality data across modern cloud environments. You will collaborate with data engineers, analysts, and business stakeholders to enable data-driven decision making, while ensuring data quality, security, performance, and operational excellence. This opportunity will allow you to deepen your expertise in cloud data platforms, data engineering, and large-scale analytics solutions while contributing to Microsoft's customer success mission. 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.

Data Pipeline Development Design, develop, and maintain batch and real-time data pipelines for ingestion, transformation, and delivery of enterprise data. Build scalable ETL/ELT solutions with monitoring, alerting, and data quality controls. Data Platform Operations Ensure data pipelines are reliable, performant, and cost-efficient. Troubleshoot and resolve pipeline failures, performance bottlenecks, and data quality issues. Data Architecture and Modeling Design and optimize data models, data warehouses, lakehouses, and storage solutions to support analytics and reporting requirements. Support migration of legacy data environments to modern cloud-based architectures. Security and Compliance Apply data security recommended approaches and ensure compliance with organizational policies and governance requirements. Protect enterprise data assets and support secure operational processes. Collaboration Partner with data scientists, analysts, engineers, and business stakeholders to deliver trusted and well-documented datasets.

Required Qualifications: Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related technical field AND 3+ years of technical support, technical consulting, data engineering, or information technology experience      o OR 5+ years of technical support, data engineering, technical consulting experience, or information technology experience       o OR equivalent experience.   Strong SQL and proficiency in a programming language such as Python or Scala. Experience building ETL/ELT pipelines and data modeling for analytics. Familiarity with orchestration tools (e.g., Airflow, Azure Data Factory) and cloud data platforms.   Additional Required Qualifications: Experience with Microsoft Fabric, especially migrations of existing warehouses into Fabric. Experience with big-data and streaming tools (e.g., Spark, Kafka). Experience with cloud data warehouses (e.g., Synapse, OneLake, Lakehouse). Knowledge of data quality frameworks, CI/CD, and infrastructure-as-code.