Accenture

Technology – Data Engineering and Architecture Lead

Hong Kong

4 days ago
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Summary

Let there be CHANGE

Ready to fast-track your career? Ready to solve complex problems? Advance your skills? Deliver next-generation technology solutions? Join Accenture and help transform leading organizations and communities around the world. Working in highly collaborative teams for world-leading clients, we’ll nurture your talent in an inclusive culture that values diversity.

Your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity and your best true self to your work.

Here, you’ll match your ingenuity with the latest technology to make incredible things. Let’s create something together.

Job duties of this Role:

We have an exciting opportunity for a Data Engineering and Architecture Lead to join our Data & AI practice. We deliver scalable, business-critical and end-to-end solutions for our clients - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies.


  • Define data strategy, data migration approach, data integration approach, data models and data design
  • Participate in or drive deep architectural discussions to build confidence and ensure customer success when implementing data related solutions
  • Investigate and thoroughly understand the current live applications and systems at any given client site
  • Be a trusted technical advisor to customers and solve complex technical challenges, and establish credibility & build deep relationships with senior technical individuals within customers’ organization
  • Lead the implementation of a large-scale data platform or AI transformation
  • Develop and maintain data engineering best practices in Hong Kong Technology Team and contribute to data analytics insights and visualization concepts, methods and techniques
  • Work closely with Sales and Account Managers on business development


  • Come JOIN US if you have:


  • Minimum of bachelor’s degree required in a related field; strong preference for fields of study in data science, AI, computer science
  • 10+ years of experience in managing and delivering complex, large scale distributed data platform or solutions
  • Deep skills in design and development of E2E data management and analytics architecture (i.e. ingestion, loading, transformation, data model design)
  • Strong expertise in Machine Learning and Artificial Intelligence, coupled with a solid understanding of data management, governance, security principles
  • Prior experience in leading system integration or implementation projects
  • Familiar with different cloud and data platforms, such as Azure, AWS, GCP, Databricks, Redshift, or Informatica.
  • Broad architecture skills, covering application, infrastructure, data and integration
  • Excellent communication and interpersonal skills, with the ability to build strong relationships with clients, partners, and team members


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