Downstream Architect
Job Type: Full Time/Permanent
Professional Experience:10 years, 15 to 20 years
Areas of Study: Cloud/infrastructure tech, Google Cloud,Information Technology, and/or equivalent, Colibra, DataLake, Google Cloud, Google cloud BigQuery, Looker
Languages: English
Education Level: Bachelor
Job Location: Singapore
Job Purpose
Owns the technology relationships up to CxO level & supports technology thought leadership.
Being a member of the Architecture Committee in ONE to facilitate AC meetings with internal and external technical stakeholders and SMEs.
Continuously improve the architecture of Data Analytics Platform for a global ocean shipping company.
Drives research, case studies, and prototypes on leading-edge technologies and how they can be leveraged.
Develops proof of concepts (POC’s) to evaluate new technologies and makes recommendations.
Develops, enhances and enforces ONE system standards, best practices and guidelines.
Designs and/or Proposes enhancements to improve the performance, availability and reliability of the cloud computing environment for Data Analytics Platform.
Continuously monitor and improve Data Governance Process.
Also improve the quality of the Data Analytics service from business users’ perspective.
Primary Job Description (Describe the major duties of this position)
Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
Proactively understand the demand from business users and factor them into the architecture enhancement plans.
Monitor the system performance of the Data Analytics Platform to always meet the service levels.
Keep the Data Analytics Platform stable and maximize the availability.
Manage the Processes and Guidelines on Data Governance.
Position Qualifications and Experiences
Experience Requirements:
Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.
Technical Skills:
Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
Architect level technical knowledge of Looker and other BI Tools
Administrator level knowledge of Collibra or other Data Governance Tool
Soft Skills:
Excellent communication and interpersonal skills.
Strong analytical and problem-solving skills.
