Senior Data Engineer / Data Architect
About this job
We are seeking an experienced data professional to design, build and improve scalable data platforms and analytics solutions. The role combines hands-on data engineering and architecture with business-facing collaboration.
Key responsibilities
• Design and maintain data warehouse and lakehouse architectures, dimensional data models and reliable ETL/ELT pipelines.
• Integrate data from cloud platforms, databases, APIs and enterprise systems; ensure data is accurate, well documented and fit for use.
• Build and maintain analytics and business intelligence solutions, dashboards and reporting for operational and senior stakeholders.
• Establish data quality, governance, privacy and compliance practices, and investigate root causes of data issues.
• Work with business, analytics, data science, technology and risk teams to translate needs into practical data products and roadmaps.
• Improve processes through automation, mentor colleagues and contribute to technical standards and best practices.
Requirements
• At least 8 years of experience in data engineering, data architecture, business intelligence or a related data role.
• Strong SQL skills and experience with data modelling, data warehousing and ETL/ELT development.
• Experience with cloud data platforms such as AWS or Google Cloud, and modern analytics or BI tools.
• Familiarity with Python, APIs, event or streaming data, and enterprise data sources is an advantage.
• Knowledge of data quality, governance and privacy requirements.
• Strong communication skills and the ability to work with both technical teams and business stakeholders.
• Relevant degree in data, computer science, information systems or equivalent practical experience.
Market insight
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Frequently asked questions
What salary can I expect?
The employer lists $10,000 – $15,000 for this role at TI&M PTE. LTD. in Singapore. For comparison, the local market median is about 4 800 $ based on 65 377 similar offers.
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