Data Engineering and Platform Manager

• 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

• 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

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