Airwallex

Staff Software Engineer, Data Platform

Full-time · US - San Francisco (Remote)
✓ Verified live on the employer's own system · added 131 days ago
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Senior · 8+ yrs exp

Requirements

Experience: 8+ years

Skills & tools

ManagementTeam LeadershipSecurityCloud PlatformsDatabricksDistributed SystemsDevopsCommunications

Benefits — mentioned in this posting

Equity / stock
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Full job description

As a high level architect (staff engineer), you will oversee the strategy, architecture, development, and operation of Airwallex's data and AI platforms. You will play a pivotal role in influencing data-driven and AI-powered decision-making processes. A key aspect of your role will also include building a high-performing team that excels in a fast-paced environment.

Your leadership will be critical in mentoring the team, promoting a culture of innovation, and driving technical excellence.

- Spearheaded the identification and resolution of Airwallex-wide challenges using cutting-edge data platform solutions.

- Provide visionary technical direction, fostering a community within Airwallex's data realm, and actively leading in solving complex problems hands-on.

- Advocate for best practices across the data platform, instilling a culture of craftsmanship and innovation.

- Mentor the data platform team, nurturing both technical and professional development.

- 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.

- 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.

At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you'll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen.

We organise regular team-building events and we give our people the freedom to be creative.

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This posting was published by Airwallex on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.