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Data Architect (Manager/Associate Director level), Finance Consulting

Hong Kong, Hong Kong
Closing date
May 16, 2024

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Job Function
Industry Sector
Finance - General
Employment Type
Full Time
KPMG China provides multidisciplinary services from audit and tax to advisory, with a strong focus on serving our clients' needs and their industries. Not only do we have an overriding commitment to provide the highest quality services for our clients, but we also strive to become a responsible corporate citizen that has a positive impact on our environment and community. At KPMG, you'll translate insights into action and reveal opportunities for all-our teams, our clients and our world.

Service Line Overview

KPMG's Finance Consulting team enables clients to maximize the performance of their Finance function and uses the latest technology to improve insights for growth and governance.

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

Our Data & Analytics team assists clients to develop and execute their strategies by optimising the use of information. We enable businesses to realise their objectives through insights from the data and provide the right data to the right people at the right time.

Key Responsibilities
  • As a Data Architect, you will translate clients' vision into data architecture design
  • Understand the current state process of the clients and bring it to future state improvement and solution
  • Contribute to use case development, e.g. workshop to gather and validate business requirements
  • Translate business requirements into data architecture design, guide and direct the design by working closely with a range of stakeholders including the rest of the architecture team, external developers, data consumers, data providers, and business users
  • Model and design the application data structure, storage, and integration
  • Document and write technical specifications for the requirements of the solution
  • Design data platform allowing managed growth of the data model to minimize risk and cost of change
  • Plan, design and lead the implementation of a large-scale data platform
  • Oversee transformation and validation that apply complex data aggregation and calculation in different programming languages depending on the project scope and requirements
  • Analyse new data sources and work with stakeholders to understand the impact of integrating new data into existing pipelines and models
  • Bridge the gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions
  • Develop go-to-market strategies with team leaders and expand team capabilities
Experience & Background
  • 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
  • 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
About KPMG

At KPMG China, we are committed to being an equal opportunity employer, with zero tolerance for any form of discrimination against any persons. It is important 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 watermark running through our organisation; 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. View Our Impact Plan to learn more about our ESG commitments and progress across four key pillars - Governance, People, Planet and Prosperity - and how we make a positive impact on our people, environment and society.

We encourage you to come as you are, and we welcome all qualified candidates to apply, and hope you unlock opportunities with us. Visit KPMG China website for more company information.

You acknowledge and agree that all personal information hereby provided regarding yourself will be used by KPMG China for its candidate selection purposed only. KPMG China collects, uses, processes, and retains your personal information in accordance with KPMG China's Online Privacy Statement and/or KPMG China Privacy Statement (collectively " Privacy Statement"). During the recruitment process, KPMG China may need to store personal information of candidates in a designated third-party application tracking platform.

If you have any questions regarding the information you provided in the form or your job application in general, please contact KPMG China's HR personnel in the location where your application is submitted [ see here ].

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