Technical Solution Management

As a part of Microsoft's Cloud Supply Chain (CSCP) organization, your role will be crucial in supporting the growth of Microsoft's Cloud business which includes AI technologies. The vision of CSCP is to empower customers to achieve more by providing Cloud Capacity Differentiated at Scale. The mission is to deliver capacity for all cloud services predictably through intelligent systems and continuous learning. The responsibilities of CSCP extend beyond traditional supply chain functions to include supportability, decommissioning, and disposition of Data centre assets on a global scale. Within the Cloud Manufacturing Operations and Fulfilment (CMOF) organization, your role will focus on developing scalable and secure data architecture to support analytics and business processes. You will lead the creation of data pipelines, models, and integration strategies to enable analytics and AI capabilities across CMOF. This position plays a critical role in aligning data infrastructure with Microsoft's evolving Security Future Initiative (SFI) and engineering best practices. Key Responsibilities: - Design and develop scalable data ingestion pipelines from multiple sources. - Implement data orchestration using tools like Spark, PySpark, and Python. - Develop ETL jobs to optimize data flow and reliability. - Design logical and physical data models to support near real-time analytics. - Perform data profiling and gap analysis for migration to next-gen platforms. - Ensure data models support scalability, privacy, and governance. - Adhere to Microsoft's SFI guidelines, data residency policies, and data privacy regulations. - Implement data security measures like data masking and encryption. - Collaborate with engineering teams to ensure system updates and data lineage tracking. - Enable self-service BI and analytics using tools like Power BI and Azure Synapse. - Create reusable datasets, data models, and visualizations aligned with business priorities. - Translate business requirements into technical specs for scalable data solutions. Qualifications: Required: - Bachelor's degree in computer science, MIS, Data Engineering, or equivalent. - 5-8 years of experience in building cloud-based data systems and ETL frameworks. - Proficiency in relational databases, cloud-based data systems, and data orchestration tools. - Experience with visualization tools like Microsoft Power Platform and Fabric. Preferred: - Strong foundation in data modeling, warehousing, and data lake architecture. - Familiarity with ERP systems such as SAP and Dynamics 365. - Experience in modern development practices, agile methodologies, and version control. - Hands-on experience in data security, compliance controls, and governance frameworks. - Knowledge of AI applications for automated learning. Key Competencies: - Strong business acumen and strategic alignment of data capabilities. - Deep understanding of data privacy, compliance, and lifecycle management. - Excellent collaboration and communication skills across global teams. - Self-starter mindset with the ability to thrive in a fast-paced environment. - Strong analytical thinking, problem-solving skills, and continuous improvement mindset. - Ability to drive change and promote a data-driven culture within the organization.,