Manager, Data Engineering

Airwallex; San Francisco (CA); On-site; USD 200,000 - 335,000; Full time

Job summary

Airwallex is hiring a Data Engineering Manager in San Francisco hybrid to scale data foundations powering analytics and product decisions. You will lead data engineers on data modeling, pipelines, and governance, partnering with engineering leaders, product, and business stakeholders to deliver reliable, scalable data solutions.

You will shape SSOT across domains, guide batch/streaming ETL, and drive AI-enabled data thinking while growing a high-performing team in a fast-paced environment.

Qualifications

• 8+ years of experience designing and implementing ETL pipelines with hands-on depth.
• 2+ years of experience directly managing or leading data engineers.
• Proficiency in SQL, data warehousing, and modern data platforms.

Responsibilities

• Lead a data engineering team focused on modeling, pipelines, and analytics-ready datasets across multiple domains.
• Define technical direction for data modeling and ensure SSOT across data layers.
• Oversee batch and streaming ETL pipelines and collaborate with DPEs and PMs for durable, scalable solutions.
• Own data governance strategy and ensure data quality, privacy, and lifecycle standards.
• Drive thinking on data engineering and AI integration to deliver high-impact outcomes.

Skills

ETL pipelines

Data modeling

SQL

Leadership

Cross-functional collaboration

Problem-solving

Communication

Education

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

Tools

Informatica

Talend

Apache NiFi

BigQuery

Airflow

MySQL

PostgreSQL

Oracle

Job description

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world‑leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future.

Attributes We Value

We hire successful builders with founder‑like energy who want real impact, accelerated learning, and true ownership. You bring strong role‑related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you "get stuff done" end‑to‑end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking.

About The Team

The Data & AI org is at the heart of our company's data and AI strategy, building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We create platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models. In 2026, our team’s overarching mission is to evolve our full data ecosystem—encompassing both platform and models—into a fully AI agent‑ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through analytics and natural language querying, while also upgrading the platform to deliver robust, real‑time performance for instant, data‑driven decision‑making.

What You’ll Do

We’re looking for a Data Engineering Manager to lead a team within our Strategic Data Org and help scale the data foundations that power Airwallex’s products, analytics, and operational decision‑making. In this role, you will lead engineers working on data modeling, pipelines, and analytics‑ready datasets across domains such as regulatory reporting, data content foundation, customer and business data, and growth data. You’ll partner closely with engineering leaders, product and business stakeholders, and adjacent platform teams to turn ambiguous business needs into reliable, well‑structured data solutions. This is a hybrid role based in San Francisco.

Team Leadership & People Management

• 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.

Data Modeling Strategy

• Set the technical direction for data modeling across the team, ensuring the org selects appropriate schema designs (e.g., star schema, snowflake, normalized vs. denormalized) based on business use cases.
• Champion the concept of Single Source of Truth (SSOT) across data layers and pipelines, holding 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.

ETL & Data Pipeline Oversight

• 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.

Data Governance

• 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.

Data + AI

• 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.

Who You Are

You should have strong, credible expertise in at least one (ideally data modeling or ETL) with working knowledge across the others.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Applicant Safety Policy: Fraud and Third‑Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal Opportunity

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

Compensation Range

$200K - $335K