Data Solution Architect (Manager level)

Apply now Job no: 496153
Work type: Full time
Location: Hong Kong
Categories: Advisory, Management Consulting

KPMG Overview

KPMG China is based in 28 offices across 25 cities with around 12,000 partners and staff in Beijing, Changsha, Chengdu, Chongqing, Foshan, Fuzhou, Guangzhou, Haikou, Hangzhou, Hefei, Jinan, Nanjing, Ningbo, Qingdao, Shanghai, Shenyang, Shenzhen, Suzhou, Tianjin, Wuhan, Xiamen, Xi’an, Zhengzhou, Hong Kong SAR and Macau SAR. Working collaboratively across all these offices, KPMG China can deploy experienced professionals efficiently, wherever our client is located.

KPMG is a global organisation of independent professional services firms providing Audit, Tax and Advisory services. We operate in 146 countries and territories and in FY20 had close to 227,000 people working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.


In 1992, KPMG became the first international accounting network to be granted a joint venture licence in mainland China. KPMG was also the first among the Big Four in mainland China to convert from a joint venture to a special general partnership, as of 1 August 2012. Additionally, the Hong Kong firm can trace its origins to 1945. This early commitment to this market, together with an unwavering focus on quality, has been the foundation for accumulated industry experience, and is reflected in KPMG’s appointment for multi-disciplinary services (including audit, tax and advisory) by some of China’s most prestigious companies.


Service Line Overview

KPMG China Technology Consulting is part of our core advisory services. We help our clients to transform and unleash the technology capability in digital age.

We are now looking for a Data Solution Architect to join our Technology Consulting team. 


Key Responsibilities

  • Ensure a good understanding of our client’s needs.
  • Lead the Fit/Gap analysis to define the solution design, including to-be processes, solution architecture, integration design, migration approach and non-functional requirements.
  • Provide architecture design related on data include but not limited to, data ETL pipeline, DB replications and Change-Data-Capture (CDC), data platform and key components
  • Use diagram tools and methodologies to create visual representations on business and application capabilities, features and functions
  • Data modelling including entities design and relationship mapping, metadata and data triggers
  • Define all aspects of data development activities including technology stacks, development cycle and coding standards
  • Lead consultant and data engineers both on-shore and off-shore on the related development takes on the solution, quality check and validate the deliverables is as according to the design document


Experience & Background

  • Minimum of 5 years' experience in data engineering/data platform development and experienced in ETL and data on-cloud design
  • Candidate with less experience will be considered as System Analyst / Associate Architect.
  • Passionate about new data technologies and modern data architectural patterns (i.e. Data Streaming Analytics, Big Data Storage, Change Data Capture)
  • Evidence of track-records in something like:
    • On-permise database/IaaS hosting database migration to DbaaS like AzureSQL, AWS RDS
    • Data Platform/Lake technology design and setup on cloud
    • MS SQL or Oracle database related stored procedure development
  • Experience in architecting, designing and implementing solutions in Microsoft Azure stack using technologies such as - Azure Data factory (ADF), Azure Data Lake, Datrabricks, SQL Server, Synapse Analytics, etc
  • Hands on experience in data platform design (data load, zoning, transformation)
  • Hands on experience in metadata management tool for data platform (i.e. Data Catalog)
  • Understanding of software quality assurance principles
  • A technical mindset with great attention to detail
  • Good communication and presentation abilities
  • Excellent command in both English, Mandarin and Cantonese
  • Degree in Computer Science or equivalent is preferred
  • Certification in Data Engineering (Azure / AWS) is a plus
  • Certification in Enterprise Architect (TOGAF) is a plus
  • You have a non-stop drive to go out of your comfort zone to guarantee an end-to-end solution

Advertised: China Standard Time

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