{"id":1986389,"url":"https://alion.io/job/worldbusinesslenders-data-engineering-and-platform-manager","title":"Data Engineering and Platform Manager","company":{"id":7852,"name":"World Business Lenders","domain":"worldbusinesslenders.com","url":"https://alion.io/company/worldbusinesslenders","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":93,"open_postings":7,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","CR","SV","GT","NI"],"hiring_countries_total":6,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":109000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":709},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-07T02:22:19Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-24T04:08:24Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Data Engineering and Platform Manager\nData Pipelines Platforms Quality and Reliability \nReports to: Chief Data and Analytics Officer \nDepartment: IDEA - Intelligence, Data, Engineering & Analytics \nTeam structure: Two Team Leads and four Analysts across Data Platform Engineering and Data Integration & Governance \nPosition Summary\nThe Data Engineering and Platform Manager is the senior hands-on leader for WBL's analytical data foundation on Azure and Databricks. Reporting to the CDAO, this role manages through two Team Leads, each responsible for two Analysts. \nData Platform Engineering builds and operates the lakehouse, pipelines, data models, and platform services; \nData Integration & Governance owns analytical ingestion, data quality controls, master/reference data capabilities, and lineage. \nThe Manager sets architecture and engineering standards, translates business and product needs into scalable data capabilities, and remains technically engaged in the design and resolution of high-impact work. \nThe role is accountable for a platform that is reliable, secure, cost-disciplined, well documented, and capable of supporting fast business endpoints and analytical products at scale. \nCore Responsibilities\nLead Data Engineering Teams\nManage, coach, and develop two Team Leads and four Analysts, with clear ownership, technical standards, feedback, and accountability. \nSet team priorities, allocate capacity, remove delivery blockers, and maintain appropriate operational coverage for critical data services. \nOwn the platform roadmap and resource plan; hire, assess performance, develop Team Leads, and build succession coverage for critical data capabilities. Maintain regular hands-on involvement in priority delivery. \nBuild and Operate the Data Platform\nOversee data ingestion, transformation, orchestration, storage, and delivery from design through production support. Work backward from business endpoints and product requirements to define business-ready data models, schemas, freshness, and performance requirements. \nMaintain platform availability, performance, monitoring, scalability, and cost discipline, including incident response and root-cause follow-up. \nSet the target data architecture and modernization priorities; translate product needs into delivery commitments and balance capacity, performance, resilience, and platform cost. \nGovern Data Quality and Security\nSet standards for data architecture, master/reference data, testing, deployment, documentation, lineage, access, retention, and change control across the analytical platform. \nPartner with analytics, intelligence products, security, infrastructure, and business owners to provide dependable governed data; business owners define source meaning and own source-process corrections. Own analytical-platform ingestion and data delivery; Software Engineering owns operational application integrations. Agree interface contracts and incident routing at shared boundaries. \nLead resolution of material data-service issues and recurring control weaknesses; agree corrective actions with source owners and technical partners and verify lasting improvement. \nRole Expectations\nThis is a senior manager role with substantial individual contribution. The Manager is expected to personally design or review important data models and architecture, troubleshoot complex pipeline and performance issues, and step into critical delivery when needed. At the same time, the Manager must build a durable organization through hiring, coaching, delegation, standards, performance management, and succession development. Team Leads are expected to contribute substantively to delivery as well as supervise their teams. Analyst is the corporate grade for staff performing data engineering and data integration/governance work.\nAppendix Provisional Performance Scorecard\nThe following scorecard is separate from the core role description. Existing weights are provisional and require agreement after a baseline period; targets should reflect maturity, complexity, and criticality. Assess platform controls and incident response directly; identify source-data dependencies and agree shared end-to-end performance measures with product and engineering owners.\nRequirements\nEducation:\nRelevant education or professional training in computer science, engineering, information systems, data, or a related discipline is valued. Demonstrated technical depth, leadership, and production delivery experience are the primary qualifications; a degree is not mandatory.\nRequired Experience\nTwelve or more years of progressive experience in data engineering, data platforms, or data architecture, including at least five years of people leadership and meaningful experience leading Team Leads, managers, or senior technical staff.\nDemonstrated success building, scaling, or materially modernizing a production data platform or data engineering function. Must be able 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 is required; this is not a management-only role.\nExperience designing business-ready curated or gold-layer datasets by working backward from downstream products, calculators, APIs, reporting, or decision-support requirements rather than treating ingestion as the endpoint.\nExperience operating data platforms with large datasets and demanding performance requirements, including query and data-model optimization, partitioning or clustering strategies, caching, and other techniques used to support low-latency analytical workloads.\nExperience 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.\nExperience establishing pragmatic data governance inside an engineering organization, including ownership, data-quality controls, metadata/documentation, lineage, access, retention, and production change controls.\nFinancial-services, lending, credit, portfolio, or other data-intensive regulated-industry experience is helpful but not required.\nTechnical Skills\nDeep 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.\nSoft Skills\nStrong understanding of data quality, lineage, metadata, master/reference data, access control, security, retention, schema evolution, change management, performance engineering, and cloud cost management.\nAble to translate between business requirements, product requirements, and technical architecture and to explain trade-offs clearly to both executives and engineers.\nPreferred Background / Industry Experience\nExperience in lending or financial services, business-user support, and data reconciliation preferred.\nBenefits\nWhat We Offer\nCompensation in USD.\nBenefits include paid time off (PTO).\nWork Environment: Fully remote work environment.\nReady to Apply?\nIf this sounds like you, we'd love to hear from you - submit your CV in English and hit Apply!","description_format":"text","description_chars":7453,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"},{"name":"Brazil","iso":"BR","kind":"country"},{"name":"Costa Rica","iso":"CR","kind":"country"},{"name":"El Salvador","iso":"SV","kind":"country"},{"name":"Guatemala","iso":"GT","kind":"country"},{"name":"Nicaragua","iso":"NI","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Business & SME Lending"],"lifecycle":[{"event":"open","at":"2026-10-07T02:22:19Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":17,"expected_fill_days":31,"reasons":["conf:1","velocity","win:mid"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/worldbusinesslenders-data-engineering-and-platform-manager","json_url":"https://alion.io/job/worldbusinesslenders-data-engineering-and-platform-manager.json","meta":{"generated_at":"2026-10-24T06:41:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9800,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7852},"rest":"https://alion.io/mcp/rest/get_company?id=7852"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fworldbusinesslenders-data-engineering-and-platform-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fworldbusinesslenders-data-engineering-and-platform-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fworldbusinesslenders-data-engineering-and-platform-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/worldbusinesslenders-data-engineering-and-platform-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fworldbusinesslenders-data-engineering-and-platform-manager"}]}