Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the infrastructure underlying this growth including AI! CSCP’s vision is to empower customers to achieve more by delivering Cloud Capacity Differentiated at Scale. Our mission is to deliver capacity for all cloud services predictably through intelligent systems driven by continuous learning and a world class organization. The CSCP Organization is responsible for traditional supply chain functions such as Plan, Source, Make, Deliver, but also manages supportability (spares), decommissioning and disposition of Data centre assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is comprised of a large global portfolio of more than 200 datacentres supporting services for more than 1 billion customers in over 90 countries worldwide. Cloud Manufacturing Operations and Fulfilment (CMOF) organization within CSCP manages business operations performance and supplies hardware to the data centres. Well-defined and executed supply chain management ensures reliable on-time performance, optimized cost, prevents urgent and unplanned investments, and provides accurate and timely information across the supply base and internally across the infrastructure organization. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide. This role will serve as the backbone for data architecture to support analytics and business process functioning within the Cloud Manufacturing Operations and Fulfilment (CMOF) organization. We are seeking a passionate, high-energy, technically advanced professional to lead the development of scalable, secure, and future-ready data pipelines, models, and integration strategies. This position is critical to enabling analytics and AI capabilities across CMOF by aligning data infrastructure with Microsoft's evolving Security Future Initiative (SFI), cloud standards, and engineering best practices. **Responsibilities** The ideal candidate will blend strong technical expertise in data solutioning with a sharp business acumen, supporting data analysts, scientists, and business partners. Key responsibilities include: + Design and develop scalable data ingestion pipelines from multiple structured/unstructured sources like Azure Data Lake, SQL Server, Kusto, flat files etc. + Implement data orchestration using Spark, PySpark, and Python. + Implement ETL jobs to optimize data flow and reliability. + Model and optimize data architecture by designing logical and physical data models supporting near real-time analytics. + Perform data profiling and gap analysis to support migration from legacy BI platforms to next-gen platforms like Microsoft Fabric, Keystone based data sourcing etc. + Ensure models support future scalability, privacy, and data lifecycle governance. + Adhere to Microsoft’s SFI guidelines, data residency policies, and data privacy regulations + Ensure Data Security, Privacy, and Compliance by implementing data masking, and encryption at required levels. + Collaborate with Engineering teams to ensure timely patches, system updates, incorporate audit trails and data lineage tracking mechanisms. + Define and implement robust data validation, anomaly detection, and reconciliation logic and monitor and track data pipeline performance + Enable Self-Service BI and Analytics by partnering with SMEs, business stakeholders to enable self-service capabilities using Power BI, Power Platform, and Azure Synapse. + Create reusable datasets, certified data models, and intuitive visualizations that align with business priorities. + Collaborate with Engineering and Business Stakeholders by translating business requirements into technical specs and into scalable data solutions. **Qualifications** **Required:** + Bachelor’s degree in computer science, MIS, Data Engineering, or equivalent work experience. + 5–8 years of experience building cloud-based data systems and ETL frameworks. + Demonstrated experience with relational databases, cloud based data systems and large-scale data pipelines and orchestration tools (like Azure Data Factory, Azure Synapse, Azure Data Lake, SQL, Spark, PySpark, Python etc,). + Proficiency in Visualization tools like Microsoft Power Platform, including Power Apps, Power Automate, & Power BI , Fabric etc. **Preferred:** + Strong foundation in data modeling, warehousing, and data lake architecture. + Familiarity with ERP systems such as SAP and Dynamics 365. + Experience in Microsoft Power Platform – Power BI, Power Apps, Power Automate, and Fabric. + Proficient in modern development practices – version control (e.g., Git), CI/CD, Agile (Scrum). + Hands-on experience in implementing data security, compliance controls, and governance frameworks. + Understanding of SFI guidelines, cloud security and data access controls. + Ability to manage system upgrades, apply timely security patches, and proactively address vulnerabilities **.** + Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. **Key Competencies** + Strong business acumen and ability to align data capabilities with strategic business outcomes. + Deep understanding of data privacy, regulatory compliance, and data lifecycle management. + Exceptional collaboration and communication skills—able to work across technical and non-technical teams globally. + Self-starter mindset with the ability to thrive in a fast-paced, evolving environment. + Strong analytical thinking, problem-solving skills, and a passion for continuous improvement. + Ability to drive change and promote a data-driven culture within the organization. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .