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World Business Lenders, LLC
World Business Lenders, LLC
201 – 500 Angajați
B2BFinanțeFintech
World Business Lenders, LLC este o companie de finanțare și fintech care oferă împrumuturi pentru afaceri garantate cu proprietăți imobiliare întreprinderilor mici și mijlocii. În calitate de creditor direct, se concentrează asupra companiilor care ar putea fi insuficient deservite de finanțarea tradițională, oferind capital de lucru pentru susținerea extinderii și a operațiunilor de zi cu zi. Activitatea sa este coordonată de o echipă de conducere cu experiență în servicii financiare și cu accent pe sprijinirea întreprinderilor mici pentru a accesa finanțare destinată unei creșteri sustenabile.
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Locurile de muncă ale companiei

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.

ARArgentinaBRBraziliaCRCosta RicaGTGuatemalaNINicaraguaSVEl SalvadorRemoteNormă întreagăSeniorLiderLimbă Obligatorie: englezăInginer de date
AzureCloudETLSQL

Descriere

  • 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

Cerințe

  • 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

Beneficii

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

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