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Описание вакансии
Текст:
TL;DR
Senior Manager, Data Platform (Financial Data/Databricks): Leading the engineering organization and technical strategy for high-volume financial data ingestion, lakehouse architecture, canonical financial models, and reliable production infrastructure with an accent on correctness, auditability, scalability, and near-real-time processing. Focus on evolving Databricks and Spark platforms, designing Kafka and CDC pipelines, leading legacy migrations, and building resilient financial systems across GCP and Kubernetes.
Location: San Francisco, United States; this role is based in San Francisco.
Salary: $255,000–$300,000 annual base pay, plus potential equity and bonus.
Company
Airwallex is an AI-native financial operating system and regulated global payments infrastructure company serving businesses and financial product builders.
What you will do
- Lead and grow a high-performing data platform engineering team through technical direction, mentorship, career development, and clear ownership.
- Set the strategy for high-volume financial data ingestion across payment processors, banks, billing systems, and ERP/GL platforms.
- Lead the evolution of the Databricks lakehouse using Spark, Delta Lake, Unity Catalog, dbt, Python, and SQL.
- Define standards for data contracts, schema evolution, drift detection, data quality, and canonical financial models.
- Evolve batch systems toward near-real-time processing with Kafka, CDC, micro-batching, incremental processing, and Dagster.
- Guide production infrastructure, observability, incident response, migrations, performance optimization, and platform roadmaps across engineering, product, accounting, ML, and infrastructure teams.
Requirements
- 8+ years of experience in data platform, backend, or infrastructure engineering, including significant engineering leadership experience.
- Experience managing senior engineers and technical leads and building autonomous engineering teams.
- Deep expertise in data platforms, distributed systems, data modeling, and production data pipelines.
- Hands-on experience with Python, SQL, Spark, Databricks, Delta Lake, dbt, Kafka, CDC, and modern lakehouse architectures.
- Experience with Dagster, PostgreSQL optimization, GCP, Terraform, Kubernetes/GKE, Helm, GitOps, CI/CD, observability, and reliability engineering.
- Strong technical communication skills and experience leading complex migrations and architecture decisions.
Culture & Benefits
- Founder-level ownership, first-principles decision-making, curiosity, and high engineering standards.
- Work on intelligent financial systems using unique end-to-end financial datasets.
- US-based employees receive medical, dental, vision, 401(k), disability, life insurance, and well-being benefits.
- US-based employees receive 20 paid vacation days and 12 company holidays annually.
- Additional compensation may include equity, annual bonuses, commissions, or RSUs.
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