Data Engineering Manager (Fintech)

TL;DR

Data Engineering Manager (Fintech): Leading a team to scale data foundations for products, analytics, and operational decision-making with an accent on data modeling, ETL pipelines, and governance. Focus on evolving the data ecosystem into an AI agent-ready infrastructure and ensuring a Single Source of Truth (SSOT).

Location: Hybrid role based in San Francisco

Company

Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, spend management, and treasury.

What you will do

• Hire, coach, and grow a team of data engineers, providing career development and performance management.
• Set technical direction for data modeling, ensuring appropriate schema designs and the establishment of a Single Source of Truth (SSOT).
• Oversee the construction and maintenance of batch and streaming ETL pipelines from ingestion to delivery.
• Develop and evolve data governance strategies, policies, and standards across team domains.
• Drive the integration of data engineering and AI to build high-impact foundational infrastructure.
• Partner with engineering leaders and business stakeholders to translate ambiguous needs into structured data solutions.

Requirements

• Bachelor’s degree in Computer Science, Finance, Mathematics, or a related field.
• 8+ years of experience designing and implementing ETL pipelines (e.g., Informatica, Talend, Apache NiFi).
• 2+ years of experience directly managing or leading data engineers.
• Proficiency in SQL, database management systems, and data warehousing solutions.
• Experience with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
• Must be based in San Francisco for a hybrid work arrangement.

Nice to have

• Experience in financial industries, payment systems, or fintech platforms.
• Knowledge of financial industry regulatory requirements and data governance practices.
• Scripting skills in Python or R for data analysis and automation.
• Certification in data management or related technologies.

Culture & Benefits

• Opportunity to work at a high-growth company valued at $11 billion.
• Collaborative environment with a focus on founder-like energy and true ownership.
• Work with a world-class tech stack including Databricks, Spark, and Kafka.
• Focus on accelerated learning and solving complex, high-visibility problems.