Staff Data Platform Architect & AI Platform Leader

Airwallex

Seattle (WA)

On-site

USD 170,000 - 250,000

Full time

7 days ago
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Job summary

Airwallex in Seattle is seeking a senior staff-architect to shape the strategy, architecture, and operations of our data and AI platforms. You will lead multi-functional teams, drive scalable pipelines, and set technical direction across geographies.

You will mentor engineers, promote best practices, and deliver high-impact solutions that empower real-time analytics and responsible AI within a fast-paced, global fintech environment.

Qualifications

  • Minimum 8 years of experience in Data Platform or equivalent in a quantitative field.
  • Experience leading company-wide initiatives across multiple teams or influencing tech roadmap.
  • Collaborates with diverse teams to drive business outcomes.
  • Balances execution velocity with in-depth research, stats, and scalable design.
  • Mentors scientists, engineers, and peers on technical growth.
  • Provides technical leadership on ETL, metrics stores, infrastructure, and data security.
  • Builds and maintains multi-geographical data pipelines at scale.
  • Familiar with workflow/orchestration tools such as Airflow and DBT.

Responsibilities

  • Provide visionary technical direction and lead in solving complex problems hands-on.
  • Oversee strategy, architecture, development, and operation of data and AI platforms.
  • Mentor the data platform team and promote innovation/craftsmanship.

Skills

Data platform leadership
Cross‑team leadership
Data architecture
Mentoring engineers
ETL frameworks
Data security
ML/AI platform
Stakeholder management

Education

Bachelor's in CS/CE/Math
MS preferred

Tools

Airflow
DBT
Kubernetes
Spark
Databricks
BigQuery

Job description

Airwallex in Seattle is seeking a senior staff-architect to shape the strategy, architecture, and operations of our data and AI platforms. You will lead multi-functional teams, drive scalable pipelines, and set technical direction across geographies.

You will mentor engineers, promote best practices, and deliver high-impact solutions that empower real-time analytics and responsible AI within a fast-paced, global fintech environment.

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