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A leading data solutions company in Singapore is seeking an experienced Data Architect to define reusable design patterns, provide technical leadership, and optimize development of big data solutions. The ideal candidate should possess strong programming abilities in Python and expertise in cloud services like AWS or Azure. Key responsibilities include participating in design reviews, developing foundational components, and evaluating methodologies. This role demands a strong affinity for IT solutions and a track record in data management.
Key Competencies
· Define reusable design patterns e.g. data movement (in/outbound) processes, data validation, data load & extraction processes etc.
· Create re-usable connections to different targets (DB/Hadoop etc.)
· Setup metadata repository for connections, schemas and contexts to be used across jobs
· Define / Develop foundational components - Error / Audit framework, Source acquisition ETL frame work, etc
· Evaluate and recommend the development methodologies, frameworks and modelling techniques.
· Provide technical leadership to the development team in preparing the design artifacts and implementation of integrations.
· Participate in design/code reviews and ensure that all solutions are aligned to pre-defined architectural specifications
· Optimize development through solution accelerators & value creators.
Experience
· Strong affinity for IT solutions and data architecture on macro as well as on micro level
· Conceptual brilliance with a track record for (big) data solutions incl. data modeling (structured/unstructured data)
· Sound experience in driving and delivering change
Beside data management and modeling, the architect will need to be familiar or have prior experience with other analytics area, such a dashboarding.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.