Manager, Data Engineering

Навыки

• AI-агенты
• Airflow
• BigQuery
• Анализ данных
• Решения на данных
• Data Governance
• Data Quality

О компании и продукте

• 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, 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. If you’re ready to do the most ambitious work of your career, join us.
• 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 https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

Задачи

• 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, 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
• 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

Требования

• 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

Будет плюсом

• 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 http://airwallex.com email address
• 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

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