Data Engineering Leadership Opportunity

7 days ago

Singapore beBeeData Full time

Job Title: Staff Data Platform Engineer

A visionary leader is required to spearhead the strategy, architecture, development, and operation of our data and AI platforms.

The ideal candidate will possess a deep understanding of data platform solutions and have proven experience leading company-wide initiatives across multiple teams or influencing tech roadmap planning.

  • Key responsibilities include:
    • Overseeing the identification and resolution of Airwallex-wide challenges using cutting-edge data platform solutions.
    • Providing technical direction, fostering a community within the data realm, and actively leading in solving complex problems hands-on.
    • Advocating for best practices across the data platform, instilling a culture of craftsmanship and innovation.
    • Mentoring the data platform team, nurturing both technical and professional development.

Requirements:

  • A minimum of 8 years of experience in Data Platform or an equivalent combination of work and academic exposure in a quantitative field.
  • Proven experience leading company-wide initiatives across multiple teams or influencing tech roadmap planning.
  • Effective collaboration with diverse teams and stakeholders to drive tangible business outcomes.
  • Demonstrated ability to balance execution and velocity with in-depth research, statistical understanding, and scalable design.
  • Track record of mentoring and investing in the development of scientists, engineers, and peers.
  • Experience providing technical leadership on significant projects, covering ETL frameworks, metrics stores, infrastructure management, and data security.
  • Proficiency in building, deploying, and maintaining reliable multi-geographical data pipelines at scale.
  • Familiarity with workflow or orchestration frameworks such as Airflow, DBT, etc.

Preferred Qualifications:

  • Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture.
  • Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow.
  • Excellent written and verbal communication skills tailored for diverse audiences (leadership, users, company-wide).
  • Ability to rapidly evaluate various technologies and conduct proof of concepts to drive architecture design.
  • Experience thriving in a complex environment.

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