Data Engineering Manager — Hybrid SF, AI Focus

Airwallex; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Airwallex is seeking a Data Engineering Manager to lead a team within the Strategic Data Org, scaling data foundations powering products, analytics, and decision-making. You will guide data modeling, pipelines, and analytics-ready datasets across multiple domains.

You will partner with engineering leaders, product, and business stakeholders to turn ambiguous needs into reliable data solutions, while driving AI strategy and governance to ensure data quality and reliability.

Qualifications

• 8+ years designing and implementing ETL pipelines.
• 2+ years directly managing data engineers.
• Proficiency in SQL, databases (MySQL, PostgreSQL, Oracle), and data warehousing.
• Familiarity with GCP BigQuery and Airflow.
• Ability to set technical direction and drive alignment with stakeholders.

Responsibilities

• Lead engineers on data modeling, pipelines, and analytics-ready datasets across domains.
• Partner with engineering, product, and business stakeholders to translate needs into data solutions.
• Ensure data quality, traceability, and governance across sources and domains.
• Drive data modelling strategy, ETL/pipelines, governance, and data+AI initiatives.

Skills

SQL

Data warehousing

Leadership

Python

Problem-solving

Education

Bachelor's degree or higher in CS/IS/Finance/Math

Tools

BigQuery

Airflow

Informatica

Talend

Apache NiFi

Job description

Airwallex is seeking a Data Engineering Manager to lead a team within the Strategic Data Org, scaling data foundations powering products, analytics, and decision-making. You will guide data modeling, pipelines, and analytics-ready datasets across multiple domains.

You will partner with engineering leaders, product, and business stakeholders to turn ambiguous needs into reliable data solutions, while driving AI strategy and governance to ensure data quality and reliability.