Principal Software Architect
4 weeks ago
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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