Crocs Store Manager, IOI City Mall
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Lead Crocs store operations, sales, customer service, and team development at IOI City Mall in Putrajaya. Oversee visual presentation, inventory, point-of-sale processes, and daily performance.
खोलें
World Business Lenders, LLC एक वित्त और फिनटेक कंपनी है जो छोटे और मध्यम आकार के व्यवसायों को रियल एस्टेट द्वारा सुरक्षित व्यावसायिक ऋण प्रदान करती है। प्रत्यक्ष ऋणदाता के रूप में, यह उन कंपनियों पर ध्यान केंद्रित करती है जिन्हें पारंपरिक वित्तपोषण से पर्याप्त सहायता नहीं मिल पाती, और विस्तार तथा दैनिक संचालन के लिए कार्यशील पूंजी उपलब्ध कराती है। इसका कार्य वित्तीय सेवाओं के अनुभवी प्रबंधन दल के मार्गदर्शन में होता है, जिसका उद्देश्य छोटे व्यवसायों को टिकाऊ विकास के लिए वित्तपोषण प्राप्त करने में सहायता करना है।
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.
विवरण
- 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
आवश्यकताएँ
- 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
लाभ
- Compensation is provided in USD
- Paid time off is provided
- Fully remote work environment
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