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Microsoft Technology Consultant - Data & AI A2 Taiwan, Taoyuan City 804391529
02.09.2025
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As a Microsoft consultant, you will deliver quality engagements with your expertise, either as an advisor, reviewer, contributor, or resource in high profile projects to ensure customer value. The ideal candidate must have the ability to combine their technical skills, leadership skills, creativity, and customer focus to deliver great
solutions to the customers and ensure they get the best out of our technologies and solutions. Consulting Delivery professionals bring subject matter and solution expertise to architectural teams, customers, and partners. They apply deep technical and business knowledge to accelerate the adoption of Microsoft devices and services by ensuring strategic, architectural, and operational alignment to customer and partner objectives.
Qualifications
- 7+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations.
- Over 5 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: Strong database experience with OLTP/OLAP, data storage mechanism and architecture,
- Columnar (RedShift, Vertica)
- OSS (MySQL, PostgreSQL and MariaDB)
- CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores)
- Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations.
- Strong experience in Data Engineering:
- Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data
- Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza)
- Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform.
- Expertise in implementation of Data governance practices using either open source or proprietary tools.
- Expertise in Data Ops
- 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.
- Nice to have AI/ML experience:
- Experience in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps).
- Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search
- Good understanding of Prompt Engineering Basics
- Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes.
- Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models.
- Foundational Understanding of deep learning frameworks such as TensorFlow, PyTorch, LangChain/LangGraph and ONNX, with practical experience in NLP, computer vision, or time-series forecasting.
- Qualifications
- 7+ years of experience
- Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years.
- Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education preferred.
- One or more of the following certifications are a plus:
- Azure Data Engineer Associate
- Azure Solution Architect
Responsibilities
- Works as a Individual contributor or Leads the engineering team and provides accurate time estimates, sets work priorities, and makes project changes and trade-offs necessary for a successful release.
- Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
- Works to accelerate the value proposition of customer or partner engagements by helping to design, develop, and deploy solutions, based on Microsoft technologies and methodologies.
- Applies information-compliance and assurance policies to ensure stakeholder confidence.
- Responsible for the overall efficacy and quality of a project team’s technical delivery within his or her engagements.
- Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
- Identifies a best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital with customers, world-wide, and for programs and initiatives across Microsoft.
- Drives opportunities to expand or accelerate the adoption and consumption of the cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
- Drives innovation and digital transformation. Ensures the use of the existing intellectual property (IP) and improves predictability.
- Defines the technology strategy for large and complex engagements, so that customers or partners realize the full value of investment. Responsible for implementing the technology strategy.
- Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.
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