Microsoft Principal Technology Consultant - Data & AI A2 

Taiwan, Taoyuan City 

216429449

20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations.

• • Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata
  • Strong Experience in large database solutions, on premises, cloud, and hybrid implementations
  • Strong experience in Serverless Architecture/Microservices
  • Strong experience of full application life cycle design tools and methodologies
  • Strong experience in one or more technologies under each of the following
  • Big Data Stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight
  • Database Stack: OLTP/OLAP, data storage mechanisms, columnar (RedShift, Vertica), OSS (MySQL, PostgreSQL, MariaDB), CosmosDB, MongoDB, Redis, Cassandra, key-value stores, graph databases, RDF triple stores
  • Level 400 knowledge and engine-level debugging (e.g., CXPACKET analysis, disk throttling, IO/network contentions, performance optimizations)
  • Data Engineering: Dimensional modelling, Lambda/Kappa architectures, time series data, Azure Stream Analytics, Azure Analysis Service
  • Experience with at least two relational DBMS (Microsoft SQL, Azure Synapse, Oracle, Teradata, Netezza)
  • Design and execution of large-scale data migrations using ADF, SSIS, Talend, Pentaho, Informatica
  • Expertise in multi-tenant database design, platform security hardening, and implementation of data governance practices using open source or proprietary tools
  • DataOps expertise
  • Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible.
  • Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain.

AI-First Delivery Leadership

• Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable.
• Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes.
• Drive engineering excellence through reusable components, accelerators, and scalable architecture.
• Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements.
• Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches.
• Act as a technical point of contact for clients, translating business requirements into scalable technical solutions.
• Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes.

Engineering Excellence

• Champion high-quality engineering practices across all delivery engagements.
• Ensure adherence to coding standards, architectural integrity, and performance benchmarks.
• Promote secure coding, test-driven development, and observability as default practices.
• Encourage continuous learning and technical certifications to maintain cutting-edge expertise.
• Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions.
• Foster a culture of technical rigor, innovation, and accountability within the team.

Innovation & Thought Leadership

• Monitor and evaluate emerging technologies to inform strategic direction.
• Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact.
• Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement.

Client Engagement & Solutioning

• Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle.
• Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals.
• Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery.

Team Management & Mentorship

• Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence.
• Conduct reviews, provide feedback, and support professional development of team members.

Quality & Compliance

• Ensure all deliverables meet quality standards, security, and regulatory requirements.
• Promote secure coding, test-driven development, and observability as default practices.

Strategic Partnering

• Serve as a strategic partner for internal and external stakeholders on key initiatives.
• Provide strategic guidance and execution oversight to ensure alignment with organizational goals.