Data Architect

Singapore - Technology Centre

​​

About the role

  • Providing active "hands-on" architectural guidance and leadership through the entire lifecycle of the transformation programme and subsequent development projects. 
  • Translating business requirements into conceptual and detailed technology solutions.
  • Implement and enhance the organisation’s data strategy.
  • Creation and upkeep of Data architecture artifacts.
  • Responsible for design and documentation of data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) 
  • Contribute to Data architecture principles and ensure their adherence throughout the organisation.
  • Collaborate and align with other architecture teams including Enterprise architecture.
  • Outstanding interpersonal communication skills
  • Powerful change agent
  • A visionary with a proven track record in strategic planning, individual/team development, and service delivery
  • Embodies a collaborative approach in bringing both business and technology stakeholders together to deliver technology solutions that enable tangible business benefits.
  • Contributing to the technology strategy and roadmaps for the transformation of data platforms and services across the organization 
  • Responsible for data modelling and design across Dyson data systems.
  • Responsible for data management across multiple data systems: data governance, data mastering, meta-data management, data definitions, Symantec-layer design, data taxonomies. 

About you

  • Demonstrated experience in an architectural role in a digital transformation programme. 
  • Experience with GCP, AWS 
  • Clear and concise communication with technical and non-technical stakeholders
  • Ability to make recommendations in aid of business strategy. 
  • Expertise in data architecture and design, for both structured and unstructured data 
  • Understanding of standard architectural frameworks
  • Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies 
  • Expertise in architecting and delivering highly scalable and flexible, cost effective, cloud-based enterprise data solutions. 
  • Experience with visualisation tools (Tableau, Looker), programming languages (R, Python) and DBT and Cloud Composer 
  • Experience on modern EA tools and/or EA Sparx
  • A keen interest in problem solving and using scalable machine learning to solve the big data-related problems. 
  • Effective communication skills to tell the story from the data and present findings to project teams & senior stakeholders. 
  • Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure. 
  • Mentoring other team members, encouraging, and inspiring junior members of the team. 
  • Strong leadership skills and consensus-building ability and negotiating skills.


Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Big Data Data governance Data management Data strategy dbt GCP Looker Machine Learning Python R Tableau Unstructured data

Perks/benefits: Career development Flex hours

Region: Asia/Pacific
Country: Singapore
Job stats:  2  0  0
Category: Architecture Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.