{"id":1646435,"url":"https://alion.io/job/airwallex-senior-manager-data-platform-t0","title":"Senior Manager, Data Platform - T0","company":{"id":3358,"name":"Airwallex","domain":"airwallex.com","url":"https://alion.io/company/airwallex","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":237,"ghost_share":0,"stale_share":0.414,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":255000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-01T20:30:19Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-06T21:53:50Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Airwallex\nAirwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 676,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.\nWe started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.\nWe're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read ouroperating principles to see it in full.\nAbout the Team\nThis team designs intelligent, autonomous systems that eliminate financial operations for companies globally. We automate everything from bookkeeping and reconciliation to tax, payroll, forecasting, and document understanding: turning hours of work into seconds. The team blends deep research pedigree with proven industry experience. We operate with high standards, are tool-agnostic, and expect engineers to own problems end-to-end. We collaborate closely, push boundaries responsibly, and ship exceptional work quickly. You’ll solve unprecedented technical challenges using unique, end-to-end financial datasets no one else in the industry has.\nAbout the Role\nAs a Senior Manager of Data Platform Engineering, you’ll lead the team responsible for the data backbone of our financial systems. You’ll set the technical direction for high-volume financial data ingestion, our Databricks lakehouse, data orchestration, canonical financial models, and the infrastructure that makes our data platform reliable, scalable, and increasingly real-time.\nYou’ll combine strong technical judgment with people leadership-building a high-performing engineering organization, establishing platform standards, driving major migrations, and partnering closely with product, accounting, and platform teams. You’ll help shape a data platform where correctness, auditability, performance, and operational excellence are foundational.\nThis role is based in San Francisco.\nWhat You'll Do\nLead and grow a high-performing data platform engineering team, providing technical direction, mentorship, career development, and clear ownership.\n\nSet the technical strategy for high-volume financial data ingestion across payment processors, banks, billing systems, and ERP/GL platforms, with strong guarantees around correctness, replayability, and recovery.\n\nLead the evolution of our Databricks lakehouse using Spark, Delta Lake, Unity Catalog, dbt, Python, and SQL, optimizing for scale, performance, reliability, and cost.\n\nDefine standards for data contracts, schema evolution, drift detection, data quality, and canonical financial models.\n\nEvolve the platform from batch toward near-real-time processing using Kafka, CDC, micro-batching, incremental processing, and Dagster orchestration.\n\nOwn the architecture of canonical financial models that transform complex source data into consistent financial objects and relationships powering our accounting engine.\n\nPartner with infrastructure and platform teams to build reliable production foundations across observability, alerting, incident response, recovery, and operational readiness.\n\nGuide infrastructure strategy across GCP, Terraform, Kubernetes/GKE, Helm, GitOps, and CI/CD.\n\nLead migrations from legacy pipelines to the lakehouse, with rigorous parity validation, staged rollouts, and clear rollback strategies.\n\nDrive performance and cost optimization across PostgreSQL, Databricks, and large-scale data workloads.\n\nPartner with product, accounting, ML, and platform leadership to translate business needs into scalable data platform capabilities.\n\nSet technical direction through architecture reviews, design documents, engineering standards, and long-term platform roadmaps.\n\nChampion AI-assisted engineering practices that improve team velocity while maintaining high standards for code quality, testing, security, and reliability.\n\nWhat You’ll Need to Have\n8+ years of experience in data platform, backend, or infrastructure engineering, including significant experience leading engineering teams.\n\nProven experience managing and developing senior engineers and technical leads and building strong, autonomous teams.\n\nDeep expertise in data platforms, distributed systems, data modeling, and production data pipelines.\n\nStrong experience with Python and SQL, plus hands-on experience with Spark, Databricks, Delta Lake, dbt, and modern lakehouse architectures.\n\nExperience building reliable ingestion systems with large-scale backfills, incremental processing, checkpointing, rate-limit handling, idempotency, and failure recovery.\n\nStrong understanding of streaming and event-driven architectures, including Kafka, CDC, and micro-batching.\n\nExperience with data orchestration platforms such as Dagster and designing for freshness, partitioning, and incremental computation.\n\nExperience optimizing PostgreSQL and analytical workloads for performance and cost.\n\nExperience operating production infrastructure on GCP, with familiarity with Terraform, Kubernetes/GKE, Helm, GitOps, and CI/CD.\n\nStrong understanding of observability, reliability engineering, and production operations.\n\nExcellent technical communication skills, with the ability to influence architecture and engineering decisions across teams.\n\nExperience leading complex technical migrations and balancing long-term platform strategy with near-term business priorities.\n\nPassion for building teams and infrastructure that power reliable, scalable, mission-critical financial systems.\n\nApplicant Safety Policy: Fraud and Third-Party Recruiters\nTo 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.\nAirwallex 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.\nEqual opportunity\nAirwallex 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. 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