Microsoft Principal Engineering Manager-Data 

Taiwan, Taoyuan City 

919325732

Basic Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

• 12+ years of experience of building high scale enterprise Business Intelligence and data engineering solutions.

• 3+ years of management experience leading a high-performance engineering team.

• Proficient in designing and developing distributed systems on cloud platform.

• Must be able to plan work, and work to a plan adapting as necessary in a rapidly evolving environment.

• Experience using a variety of data stores, including data ETL/ELT, warehouses, RDBMS, in-memory caches, and document Databases.

• Experience using ML, anomaly detection, predictive analysis, exploratory data analysis.

• A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture.

• Strong communication skills and proficiency with executive communications

• Demonstrated ability to effectively lead and operate in cross-functional global organization

Preferred Qualifications:

• Prior experience as an engineering site leader is a strong plus.

• Proven success in recruiting and scaling engineering organizations effectively.

• Demonstrated ability to provide technical leadership to teams, with experience managing large-scale data engineering projects.

• Hands-on experience working with large data sets using tools such as SQL, Databricks, PySparkSQL, Synapse, Azure Data Factory, or similar technologies.

• Expertise in one or more of the following areas: AI and Machine Learning.

• Experience with Business Intelligence or data visualization tools, particularly Power BI, is highly beneficial.

As a leader of the engineering team, you will be responsible for the following:

• Build and lead a world class data engineering team.

• Passionate about technology and obsessed about customer needs.

• Champion data-driven decisions for features identification, prioritization and delivery.

• Managing multiple projects, including timelines, customer interaction, feature tradeoffs, etc.

• Delivering on an ambitious product and services roadmap, including building new services on top of vast amount data collected by our batch and near real time data engines.

• Design and architect internet scale and reliable services.

• Leveraging machine learning(ML) models knowledge to select appropriate solutions for business objectives.

• Communicate effectively and build relationship with our partner teams and stakeholders.

• Help shape our long-term architecture and technology choices across the full client and services stack.

• Understand the talent needs of the team and help recruit new talent.

• Mentoring and growing other engineers to bring in efficiency and better productivity.

• Experiment with and recommend new technologies that simplify or improve the tech stack.

• Work to help build an inclusive working environment.