Airwallex

Manager, Data Engineering

US - San Francisco

Sponsorship not specifiedDetected 5 days ago

PythonSQLPostgreSQLMySQLBigQuerySnowflakeDatabricksGCPCloud PlatformsKafkaMachine LearningSparkData AnalysisData EngineeringRAGSalesforceLeadershipCommunicationCollaborationProblem SolvingMentoringPipeline Integrity

About the role

The Data & AI org is at the heart of our company's data and AI strategy.
We accomplish this by creating 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.

Responsibilities

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.
Hire, coach, and grow a team of data engineers, setting clear expectations and providing regular feedback and career development support.
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 (e.g., star schema, snowflake, normalized vs. denormalized) based on business use cases.
Ensure your team collaborates effectively with business stakeholders to translate data needs into clean, structured, well-documented models.
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.

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.

Nice to have

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
All official communication will come from an @airwallex.com http://airwallex.com email address.
Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page.

Company info

We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact.
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 capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making.
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.

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.

Visa & Work Authorization

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.

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This listing is sourced directly from Airwallex's careers page and normalized into a canonical job model.