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Airwallex
Airwallex
1,001 – 5,000 Employees
H1B Visa SponsorFinanceFintechPayments
Airwallex is a fintech company building technology for global payments, treasury, and business financial operations. Its platform brings together business accounts, spend management, payment services, multi-currency transactions, foreign exchange, global transfers, and embedded finance components that businesses can use to create tailored financial products. Airwallex supports more than 150,000 businesses and focuses on secure, reliable, and compliant infrastructure for managing money across borders. Its hiring context spans teams working across financial technology, payments, finance, and the systems that support modern global commerce.
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Senior Manager, Data Platform Engineering at Airwallex

Lead Airwallex’s data platform engineering organization supporting financial infrastructure. Shape Databricks lakehouse, ingestion, streaming, and canonical financial data systems.

USUnited StatesCACalifornia
$255,000 – $300,000 / year
HybridFull-timeSeniorEnglish RequiredData Engineer
Distributed SystemsERPGoogle Cloud PlatformKafkaKubernetesPostgresPythonSparkSQLTerraformUnity

Description

  • Build and lead a high-performing data platform engineering team through technical guidance, mentorship, career development, and clear ownership.
  • Define the technical strategy for high-volume financial data ingestion spanning payment processors, banks, billing systems, and ERP/GL platforms.
  • Advance the Databricks lakehouse with Spark, Delta Lake, Unity Catalog, dbt, Python, and SQL.
  • Establish practices for data contracts, schema evolution, drift detection, data quality, and canonical financial models.
  • Move the platform from batch processing toward near-real-time workflows using Kafka, CDC, micro-batching, incremental processing, and Dagster.
  • Own the architecture of the canonical financial models that support the accounting engine.
  • Work with infrastructure and platform teams to strengthen observability, alerting, incident response, recovery, and operational readiness.
  • Set infrastructure direction across GCP, Terraform, Kubernetes/GKE, Helm, GitOps, and CI/CD.
  • Oversee migrations from legacy pipelines to the lakehouse, including parity checks, phased releases, and rollback planning.
  • Improve performance and control costs across PostgreSQL, Databricks, and high-scale data workloads.
  • Collaborate with product, accounting, ML, and platform leaders to turn business needs into scalable data platform capabilities.
  • Establish engineering direction through architecture reviews, design documentation, technical standards, and long-range platform roadmaps.
  • Promote AI-assisted engineering while upholding expectations for code quality, testing, security, and reliability.

Requirements

  • At least eight years in data platform, backend, or infrastructure engineering, including substantial experience leading engineering teams.
  • Demonstrated success managing and developing senior engineers and technical leads while building strong, autonomous teams.
  • Advanced knowledge of data platforms, distributed systems, data modeling, and production data pipelines.
  • Strong Python and SQL skills, with hands-on experience in Spark, Databricks, Delta Lake, dbt, and modern lakehouse architectures.
  • Experience developing dependable ingestion systems with large backfills, incremental processing, checkpointing, rate-limit management, idempotency, and failure recovery.
  • Solid understanding of streaming and event-driven systems, including Kafka, CDC, and micro-batching.
  • Experience with orchestration platforms such as Dagster and with designing for freshness, partitioning, and incremental computation.
  • Experience tuning PostgreSQL and analytical workloads for performance and cost efficiency.
  • Experience running production infrastructure on GCP, plus familiarity with Terraform, Kubernetes/GKE, Helm, GitOps, and CI/CD.
  • Strong command of observability, reliability engineering, and production operations.
  • Excellent technical communication skills and the ability to influence architecture and engineering decisions across teams.
  • Experience directing complex technical migrations while balancing long-term platform strategy with immediate business priorities.
  • Motivation to build teams and infrastructure for reliable, scalable, mission-critical financial systems.

Benefits

  • Equity participation.
  • Eligibility for an annual bonus.
  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Short- and long-term disability coverage.
  • Basic life insurance.
  • Well-being benefits.
  • 20 paid vacation days.
  • 12 paid company holidays.
  • Statutory minimum annual leave and public holidays.

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