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Data Architect Transformation Leader

1 week ago

Hong Kong, Central and Western District, Hong Kong SAR China KPMG Full time
Job Description

KPMG's Transformation team enables clients to maximize business performance by leveraging the latest technologies to improve growth, governance, and insights.

Our Hong Kong team is the fastest-growing division within KPMG China and represents a young and enthusiastic team that consistently pushes itself to succeed. Since our creation, we have accumulated in-depth knowledge of an incredibly broad spread of sectors and services.

We assist clients in developing and executing their strategies by optimizing the use of information. We empower businesses to provide the right data to the right people at the right time, and realize their objectives through insights from their data.

Key Responsibilities:

  • Data Strategy, Architecture, and Implementation: Plan, design, and lead the implementation of large-scale data solutions. Develop enterprise data strategies and blueprints to meet client goals. Design relational, NoSQL, and data warehouse models (star/snowflake schemas). Create data flow diagrams and integration plans.
  • Collaboration & Leadership: Partner with IT teams, analysts, and business leaders to translate clients' vision into technical solutions. Advise on technology selection (databases, ETL tools, cloud platforms). Contribute to use case development, e.g., workshop to gather and validate business requirements.
  • Governance & Compliance: Implement data governance frameworks and ensure adherence to GDPR, HIPAA, or CCPA. Define data security protocols and access controls.
  • Optimization & Innovation: Solution performance assessment; recommend optimization and scalability improvements. Stay updated on trends (e.g., AI/ML, big data, IoT).
  • Documentation: Maintain architecture diagrams, technical specifications, data dictionaries, and process workflows.

Experience & Background:

  • Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering, or a related field.
  • At least 5 years of experience in Cloud data architecture, like building cloud scalable and high-performance data lake/data warehouse solutions, such as Azure, AWS, and GCP.
  • At least 5 years of experience with relational databases and data warehouses such as SQL Server, Oracle, and Teradata.
  • Strong technical understanding of data modelling, design, and architecture principles and techniques across master data, transaction data, and derived/analytic data.
  • Experience with Agile & DevOps methodologies.
  • Knowledge of market trends and emerging technologies such as blockchain, Internet of Things (IoT), Artificial Intelligence, Machine Learning, Data Streaming (Kafka) etc would be a bonus.
  • High level of business acumen and strong problem-solving skill.
  • Excellent multitasking skills and task management strategies.
  • Ability to complete milestones and work toward multiple deadlines simultaneously.
  • Confident in decision making and the ability to explain processes or choices as needed.
  • Excellent communication and interpersonal skills.
  • Proficient in both spoken and written English (and Chinese).