Data Platform Visionary

1 day ago

Singapore beBeeLeader Full time $150,000 - $200,000
Lead Data Platform Architect

We are seeking a visionary leader to oversee the strategy, architecture, development, and operation of our data platforms. As a key member of our team, you will play a pivotal role in driving data-driven decision-making processes and influencing technical direction.

About the Role

The successful candidate will have a strong background in data platform engineering, with experience leading company-wide initiatives across multiple teams. You will be responsible for spearheading the identification and resolution of challenges using cutting-edge data platform solutions, advocating for best practices, and mentoring the data platform team.

Responsibilities
  • Spearhead data platform projects from design to deployment, ensuring seamless integration with existing systems.
  • Provide technical leadership on significant projects, covering ETL frameworks, metrics stores, infrastructure management, and data security.
  • Mentor and invest in the development of scientists, engineers, and peers, fostering a culture of innovation and technical excellence.
  • BUILD A HIGH-PERFORMING TEAM THAT EXCELS IN A FAST-PACED ENVIRONMENT.
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.
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.

Join us in shaping the future of data platform engineering and discover new opportunities for growth and development.

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