Data Engineer - Singapore - DYSON OPERATIONS PTE. LTD.

Description

​​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.