Microsoft Technical Solution Management 

Taiwan, Taoyuan City 

280714887

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.

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.