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World Business Lenders, LLC
World Business Lenders, LLC
201 – 500 Xodimlar
B2BFintexMoliya
World Business Lenders, LLC kichik va o‘rta bizneslarga ko‘chmas mulk bilan ta’minlangan biznes kreditlarini taqdim etuvchi moliya va fintech kompaniyasidir. To‘g‘ridan-to‘g‘ri kreditor sifatida u an’anaviy moliyalashtirishdan yetarlicha foydalana olmaydigan kompaniyalarga e’tibor qaratib, kengayish va kundalik faoliyatni qo‘llab-quvvatlash uchun aylanma mablag‘ taklif qiladi. Kompaniya faoliyatiga moliyaviy xizmatlar sohasida tajribaga ega boshqaruv jamoasi rahbarlik qiladi va kichik bizneslarning barqaror o‘sish uchun moliyalashtirishga kirish imkoniyatini kengaytirishga intiladi.
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Kompaniyadagi ish o‘rinlari

Senior Data Engineering and Platform Manager — Costa Rica Remote

Lead World Business Lenders’ Azure and Databricks data platform teams in a senior remote role based in Costa Rica. Build governed, reliable analytical data foundations that support business products at scale.

ARArgentinaBRBraziliyaCRKosta-RikaGTGvatemalaNINikaraguaSVSalvadorMasofaviyTo‘liq stavkaSeniorYetakchiTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
AzureBulutETLSQL

Tavsif

  • Report to the Chief Data and Analytics Officer within the IDEA department
  • Lead two Team Leads and four Analysts across Data Platform Engineering and Data Integration & Governance
  • Manage, coach, and develop team members through clear ownership, technical standards, feedback, and accountability
  • Set priorities, allocate capacity, remove delivery blockers, and ensure operational coverage for critical data services
  • Own the platform roadmap and resource plan; hire, evaluate performance, develop Team Leads, and establish succession coverage
  • Remain hands-on in priority delivery work
  • Oversee data ingestion, transformation, orchestration, storage, and delivery from design through production support
  • Define business-ready data models, schemas, freshness targets, and performance requirements from business endpoints and product needs
  • Maintain platform availability, performance, monitoring, scalability, and cost control
  • Lead incident response and follow up on root causes
  • Establish target data architecture and modernization priorities
  • Balance capacity, performance, resilience, and platform costs
  • Set standards for data architecture, master and reference data, testing, deployment, documentation, lineage, access, retention, and change control
  • Partner with analytics, intelligence products, security, infrastructure, and business owners to deliver dependable, governed data
  • Own analytical-platform ingestion and delivery, define interface contracts, and coordinate incident routing across shared boundaries
  • Lead the resolution of significant data-service issues and recurring control weaknesses
  • Design or review critical data models and architecture, troubleshoot complex pipeline and performance issues, and support critical delivery when needed
  • Build a durable organization through hiring, coaching, delegation, standards, performance management, and succession development

Talablar

  • Relevant education or professional training in computer science, engineering, information systems, data, or a related field is valued, but a degree is not required
  • At least 12 years of progressive experience in data engineering, data platforms, or data architecture
  • At least five years of people leadership experience, including substantial leadership of Team Leads, managers, or senior technical staff
  • Experience building, scaling, or significantly modernizing a production data platform or data engineering function
  • Ability to coach Team Leads, develop senior technical talent, allocate capacity, establish engineering standards, manage incidents and operational risk, and make roadmap and prioritization decisions with senior business leaders
  • Recent experience delivering hands-on technical work
  • Experience designing business-ready curated or gold-layer datasets from downstream products, calculators, APIs, reporting, or decision-support requirements
  • Experience operating large-scale data platforms with demanding performance needs, including query and data-model optimization, partitioning or clustering, caching, and low-latency analytical workloads
  • Experience integrating operational systems, third-party vendors, APIs, files, and batch feeds while managing data contracts, schema changes, reconciliation, lineage, and source-quality issues
  • Experience establishing data governance covering ownership, data-quality controls, metadata and documentation, lineage, access, retention, and production change controls
  • Deep practical experience with SQL, dimensional and analytical data modeling, ETL/ELT, orchestration, APIs, cloud storage and compute, automated testing, CI/CD, observability, monitoring, and incident management
  • Strong practical ability to design and lead delivery in Azure and Databricks, including lakehouse patterns, workload performance, reliability, and cost optimization
  • Strong understanding of data quality, lineage, metadata, master and reference data, access control, security, retention, schema evolution, change management, performance engineering, and cloud cost management
  • Ability to translate business and product requirements into technical architecture and explain trade-offs to executives and engineers
  • Experience in financial services, lending, credit, portfolio, or another data-intensive regulated industry is helpful but not required
  • Experience in lending or financial services, business-user support, and data reconciliation is preferred
  • Submit a CV in English

Imtiyozlar

  • Compensation is provided in USD
  • Paid time off is provided
  • Fully remote work environment

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