Principal Software Architect

4 weeks ago


Singapur, Singapore Singapore Airlines Full time

Job Title: Principal Software Architect

About the Role:

We are seeking a highly skilled Principal Software Architect to lead our Data Engineering and Analytics team in Scoot's Information Technology Division. As a key member of our team, you will play a lead role in driving the overall technical vision and roadmap for evolving Scoot's distributed data management systems and data analytics.

Key Responsibilities:

  • Provide technical leadership and guidance for data engineers in Scoot.
  • Drive the overall technical vision and roadmap for evolving Scoot's distributed data management systems and data analytics.
  • Be an effective implementer and technical mentor for the team in the following core activities: Design and develop new systems architecture for data engineering services and their ecosystem, including distributed databases (relational, columnar, graph, in-memory); cloud DevOps with IaC (Infrastructure-as-Code); and other big data technologies.
  • Assist in the stakeholder management and resolve resource conflicts within or between agile teams.
  • Lead projects involving high level of coordination among departments and business areas.
  • Any relevant ad-hoc duties.

Requirements:

  • BS degree in Computer Science or a related discipline is required.
  • 7 years or more relevant industry experience in the following technical areas: At least intermediate-level knowledge and experience with Google Cloud and its best practices. AWS cloud experience is a plus.
  • Advanced programming skills in Python.
  • Conversant with data structure, algorithm design/analysis, and SQL.
  • Substantial exposure on functional/object-oriented programming using a modern programming language (such as Scala, Java, C#, and TypeScript/JavaScript) is a plus.
  • Experience in building data pipelines using modern data ingestion platforms, including open-source ones.
  • Experience in the deployment of object stores and data warehouses - such as Amazon S3, and Google GCS and BigQuery.
  • Proven experience in technical leadership.
  • Capable of mentoring a data engineering team in delivering on multiple competing priorities with little supervision.
  • Seasoned resource estimation, planning, and negotiation skills to work with diverse stakeholders.

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