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About the Role

Airwallex is seeking a Data Engineering Manager to lead a team within the Strategic Data Org. This role is crucial for scaling the data foundations that power the company's products, analytics, and operational decision-making. You will lead engineers in data modeling, pipeline development, and analytics-ready datasets, partnering with stakeholders to create reliable data solutions.

Responsibilities

Hire, coach, and grow a team of data engineers, setting clear expectations and providing regular feedback and career development support.
Establish team rituals, priorities, and ways of working that balance delivery speed with engineering rigor.
Act as a technical mentor, reviewing designs and code where needed, and helping engineers grow their skills in data modeling, pipeline engineering, and governance.
Manage performance, workload, and hiring plans in line with business needs.
Drive AI strategy and AI automation for the team.
Set the technical direction for data modeling across the team, ensuring the org selects appropriate schema designs based on business use cases.
Champion the concept of Single Source of Truth (SSOT) across data layers and pipelines, and hold the team accountable to it.
Ensure your team collaborates effectively with business stakeholders to translate data needs into clean, structured, well-documented models.
Oversee data consistency, traceability, and quality standards across multiple data sources and domains.
Guide the team's approach to building and maintaining batch and streaming ETL pipelines, from ingestion through transformation and delivery.
Ensure strong collaboration between your team, Data Platform Engineers (DPEs), and Product Managers (PMs) to drive quick root-cause resolution of data issues and durable, scalable fixes.
Bring judgment to challenges around distributed or multi-datacenter systems, including data migration, duplication, and consistency, and help the team navigate them.
Own and evolve data governance strategy, policies, and standards for the team's domains.
Ensure the team's practices reflect the key pillars of data governance (data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).
Represent the data engineering team in cross-functional governance conversations and decisions.
Drive thinking on how data engineering and AI can work together in practical, high-impact ways, and help the team build the foundations that make that possible.

Requirements

Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.
8+ years of experience designing and implementing ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or similar data integration platforms, including significant hands-on technical depth.
2+ years of experience directly managing or leading data engineers, including hiring, coaching, and performance management.
Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
Demonstrated ability to set technical direction and drive alignment across engineering and business stakeholders.
Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
Strong communication and collaboration skills, with the ability to lead effectively in a fast-paced, team-oriented environment and work with globally distributed teams.
Experience with financial industries, payment systems, or fintech platforms.
Knowledge of data governance practices and regulatory requirements in the financial industry.
Experience with scripting languages (e.g., Python, R) for data analysis and automation.
Certification in data management or related technologies.
Prior experience scaling a data engineering team through periods of significant company growth.

Skills

Data Modeling
ETL Pipeline Development
Data Governance
SQL
Database Management Systems
Data Warehousing Solutions
Google Cloud Platform (GCP)
BigQuery
Airflow
Python
R

Location

San Francisco

Work Type

Hybrid

Experience Level

8+ years of experience
2+ years of experience managing or leading data engineers

Education Level

Bachelor's degree or higher

About the Company

Airwallex is the only unified payments and financial platform for global businesses.
Powered by proprietary infrastructure and software, Airwallex empowers over 250,000 businesses worldwide with integrated solutions for business accounts, payments, spend management, treasury, and embedded finance.
Founded in Melbourne, Airwallex has a team of over 2,300 employees across 27 global offices.
The company is valued at US$11 billion and backed by investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital.
Airwallex is building the global payments and financial platform of the future.
The company hires builders with founder-like energy who seek impact, accelerated learning, and ownership.
Airwallex's mission and operating principles drive employees to move fast with good judgment, dig deep with curiosity, and make decisions from first principles.
The company fosters a humble and collaborative environment where ideas are turned into products, and work is completed end-to-end.
Employees use AI to work smarter and solve problems faster, tackling complex, high-visibility problems with exceptional teammates.
The Data & AI organization builds foundational infrastructure for the company's data and AI strategy, creating platforms for the entire data and AI/ML lifecycle.
The team's 2026 mission is to evolve the data ecosystem into an AI agent-ready infrastructure, enabling direct customer engagement for actionable value through analytics and natural language querying, while ensuring robust, real-time performance.

Equal Opportunity

Airwallex is proud to be an equal opportunity employer.
We value diversity and consider anyone seeking employment based on merit, qualifications, competence, and talent.
Hiring decisions do not regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status.
If you have a disability or special need that requires accommodation, please let us know.