2 дня назад
Staff Software Engineer, Data Platform (AI)
200 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Data Platform (AI): Architecting, developing, and operating company-wide data and AI platforms that support analytics, machine learning, and real-time decision-making with an accent on scalable infrastructure, governance, and multi-geographical data pipelines. Focus on designing Lakehouse and data-processing frameworks, solving complex platform challenges, and mentoring engineers across the organization.
Location: Seattle, United States
Salary: $200,000–$260,000 per year, plus equity and bonus opportunities.
Company
Airwallex provides an integrated payments and financial platform for global businesses, combining proprietary infrastructure and software for accounts, payments, spend management, treasury, and embedded finance.
What you will do
- Own the strategy, architecture, development, and operation of data and AI platforms.
- Identify and solve company-wide challenges using advanced data platform solutions.
- Provide technical direction and lead hands-on resolution of complex architecture and engineering problems.
- Establish data platform best practices and promote technical craftsmanship and innovation.
- Mentor data platform engineers and support their technical and professional development.
Requirements
- At least 8 years of experience in data platforms or an equivalent combination of work and academic experience in a quantitative field.
- Experience leading company-wide initiatives across multiple teams and influencing technology roadmaps.
- Technical leadership experience across ETL frameworks, metrics stores, infrastructure management, and data security.
- Experience building, deploying, and maintaining reliable multi-geographical data pipelines at scale.
- Familiarity with workflow and orchestration frameworks such as Airflow or dbt.
- Strong collaboration, research, statistical reasoning, scalable design, communication, and mentoring skills.
Nice to have
- Experience designing data-processing patterns for modern Lakehouse architectures.
- Experience with GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow.
- Experience developing high-performance services, standard framework modules, or client libraries for big data.
- Experience evaluating technologies and running proofs of concept to guide architecture decisions.
Culture & Benefits
- Work in a high-ownership environment focused on innovation, technical excellence, and complex data and AI challenges.
- Collaborate with teams across a global organization operating from 27 offices.
- US-based employees receive medical, dental, and vision insurance, a 401(k), disability and life insurance, and well-being benefits.
- US-based employees receive 20 paid vacation days and 12 company holidays annually.
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