Senior Data Systems Architect

15 hours ago


Singapore ARGYLL SCOTT CONSULTING PTE. LTD. Full time

Job Title: Senior Data Systems Architect

We are looking for a highly skilled Senior Data Systems Architect to support our project in Singapore. This is a 2-year contract role with an estimated salary of SGD 120,000 - 150,000 per annum.

The ideal candidate will have a strong technical background in data engineering, AI, and modern cloud infrastructure, as well as excellent technical skills and the ability to collaborate with both internal and external stakeholders across technology, AI, and business to deliver impactful AI products.

Key Responsibilities:

  • Design and implement scalable data pipelines to bring in various types of data from multiple sources within the organization and relevant third-party sources.
  • Collaborate with cross-functional teams to source data and make it available for downstream consumption.
  • Work with the team to provide effective solution designs that meet business needs.
  • Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
  • Manage timelines (milestones, decisions, and delivery) and ensure the value of the initiative is achieved without compromising quality and within budget.
  • Establish an appropriate and coordinated communications plan for initiative execution and delivery, both internally and externally.

Qualifications:

  • Strong technical background in data, AI, and modern cloud infrastructure.
  • Excellent programming skills in languages such as Python, SQL.
  • Experience with cloud infrastructure providers like Azure Data Bricks, Google Cloud Platform, or AWS.
  • Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataset/Dataframe API) or Hive Query Language (HQL).
  • Knowledge of big data ETL processing tools.
  • Experience with Hive and Hadoop file formats (Avro/Parquet/ORC).
  • Basic knowledge of scripting (shell/bash).
  • Experience of working with multiple data sources, including relational databases (SQL Server/Oracle/DB2/Netezza), NoSQL/document databases, flat files.
  • Basic understanding of CI/CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo, and Azure DevOps.
  • Basic understanding of DevOps practices using Git version control.
  • Ability to debug, fine-tune, and optimize large-scale data processing jobs.


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