Strategic Data Architect Leader
1 week ago
About Us
KPMG is a global organization of independent professional services firms that operates in 153 countries. We are committed to being an equal opportunity employer, with zero tolerance for any form of discrimination against any persons. It is essential for us to create an inclusive, diverse and agile workplace for our people to develop and thrive at both a personal and professional level.
We strive to make ESG (environmental, social and governance) a core aspect of our organization; from empowering our people to become agents of positive change, to providing better solutions and services to our clients to help them achieve their ESG goals.
Job Description
As a Strategic Data Architect Leader, you will play a key role in enabling clients to maximize business performance by using the latest technologies to improve growth, governance and insights. You will be part of our Transformation team in Hong Kong, which is the fastest growing division within KPMG China and represents a young and enthusiastic team that always pushes itself to succeed.
We have accumulated in-depth knowledge of an incredibly broad spread of sectors and services since our creation. Our Data & Analytics team assists clients to develop and execute their strategies by optimising the use of information. We enable businesses to provide the right data to the right people at the right time, and realise their objectives through insights from their data.
Your Key Responsibilities
- Plan, design and lead the implementation of large-scale data solutions, including relational, NoSQL, and data warehouse models (star/snowflake schemas).
- Develop enterprise data strategies and blueprints to meet client goals, and create data flow diagrams and integration plans.
- Partner with IT teams, analysts, and business leaders to translate clients' vision into technical solutions, advise on technology selection (databases, ETL tools, cloud platforms), and contribute to use case development.
- Implement data governance frameworks and ensure adherence to GDPR, HIPAA, or CCPA, define data security protocols and access controls, and maintain architecture diagrams, technical specifications, data dictionaries, and process workflows.
- Stay updated on trends (e.g., AI/ML, big data, IoT), assess solution performance, recommend optimization and scalability improvements, and maintain high level of business acumen and strong problem-solving skills.
Your Qualifications
- Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering or related field.
- At least 5-year 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-year 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, proficient in both spoken and written English (and Chinese), excellent multitasking skills and task management strategies.
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