Data Engineering and Platform Manager

🔥 3 minutes ago

🌐 Costa Rica, El Salvador, +4 more countries – Remote

🇨🇷 Costa Rica – Remote 🇸🇻 El Salvador – Remote 🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇬🇹 Guatemala – Remote 🇳🇮 Nicaragua – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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World Business Lenders, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🤝 B2B

💳 Fintech

Finance • B2B • Fintech

World Business Lenders, LLC is a direct lender that specializes in providing real-estate secured business loans to small-to-medium-sized businesses. The company focuses on serving under-served businesses that lack access to traditional funding, facilitating access to capital for business expansion and growth. With a strong management team experienced in financial services, World Business Lenders offers working capital solutions to foster the development of successful small businesses.

📋 Description

• 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 with clear ownership, technical standards, feedback, and accountability • Set priorities, allocate capacity, remove delivery blockers, and maintain operational coverage for critical data services • Own the platform roadmap and resource plan; hire, assess performance, develop Team Leads, and build succession coverage • Maintain hands-on involvement in priority delivery • Oversee data ingestion, transformation, orchestration, storage, and delivery from design through production support • Define business-ready data models, schemas, freshness, and performance requirements based on business endpoints and product requirements • Maintain platform availability, performance, monitoring, scalability, and cost discipline • Lead incident response and root-cause follow-up • Set target data architecture and modernization priorities • Balance capacity, performance, resilience, and platform cost • Set standards for data architecture, master/reference data, testing, deployment, documentation, lineage, access, retention, and change control • Partner with analytics, intelligence products, security, infrastructure, and business owners to provide dependable governed data • Own analytical-platform ingestion and data delivery, agree interface contracts, and coordinate incident routing at shared boundaries • Lead resolution of material data-service issues and recurring control weaknesses • Personally design or review important data models and architecture, troubleshoot complex pipeline and performance issues, and step into critical delivery when needed • Build a durable organization through hiring, coaching, delegation, standards, performance management, and succession development

🎯 Requirements

• Relevant education or professional training in computer science, engineering, information systems, data, or a related discipline is valued; a degree is not mandatory • Twelve or more years of progressive experience in data engineering, data platforms, or data architecture • At least five years of people leadership experience, including meaningful experience leading Team Leads, managers, or senior technical staff • Experience building, scaling, or materially 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 hands-on technical delivery experience • Experience designing business-ready curated or gold-layer datasets from downstream products, calculators, APIs, reporting, or decision-support requirements • Experience operating data platforms with large datasets and demanding performance requirements, including query and data-model optimization, partitioning or clustering, caching, and low-latency analytical workloads • Experience integrating data from 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, including ownership, data-quality controls, metadata/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 an Azure and Databricks environment, including lakehouse patterns, workload performance, reliability, and cost optimization • Strong understanding of data quality, lineage, metadata, master/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 • Financial-services, lending, credit, portfolio, or other data-intensive regulated-industry experience is helpful but not required • Experience in lending or financial services, business-user support, and data reconciliation preferred • Submit CV in English

🏖️ Benefits

• Compensation in USD • Paid time off (PTO) • Fully remote work environment