Senior Data Platform Engineer

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🕒 il y a 1 jour

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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NextGen Healthcare

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1998

🏥 Santé

💼 Conseil

⚕️ Assurance santé

💰 Venture Round en 2015-02

Healthcare • Consulting • Healthcare Insurance

NextGen Healthcare est une entreprise fournissant des solutions intégrées de technologies de l'information (IT) pour les pratiques ambulatoires de santé. Leurs services incluent des dossiers médicaux électroniques (DME), la gestion de cabinet, l'interopérabilité, l'engagement des patients et des solutions de télémédecine. Ils visent à améliorer l'expérience des patients et des prestataires grâce à des technologies innovantes telles que les flux de travail pilotés par l'IA et les solutions mobiles. NextGen Healthcare propose également des solutions sur mesure pour diverses spécialités et se concentre sur l'amélioration des résultats cliniques et financiers pour leurs clients. Ils soutiennent les pratiques de toutes tailles, des petits cabinets aux grandes entreprises, et mettent l'accent sur l'importance de l'interopérabilité et des échanges de données pour améliorer la prestation de soins de santé.

Description

• Own the enterprise Snowflake data platform, including administration, security, RBAC, warehouse management, cost optimization, monitoring, performance tuning, and operational reliability • Design, develop, and maintain scalable ELT/ETL pipelines using Informatica, SQL, Python, and cloud-native services • Define enterprise data architecture, integration standards, data modeling patterns, and engineering best practices • Lead data ingestion, transformation, orchestration, and delivery for enterprise analytics • Support Finance processes including month-end close, bookings, ARR, revenue, cost, reconciliations, and executive reporting • Own production operations including monitoring, observability, incident response, root-cause analysis, disaster recovery planning, and platform resiliency • Administer AWS services supporting the data platform, including S3, IAM, and Secrets Manager • Partner with Finance, Accounting, Product, Sales, Customer Success, HR, and IT to translate business requirements into scalable technical solutions • Establish data quality, validation, reconciliation, lineage, metadata, and governance standards • Develop automation for deployments, operational support, testing, monitoring, and platform administration • Mentor engineers, perform architecture and code reviews, and provide technical leadership across the BI and Data Engineering organization • Develop and maintain technical documentation, runbooks, operational procedures, and knowledge-transfer artifacts • Evaluate emerging technologies and recommend improvements to scalability, security, performance, and operational excellence

🎯 Exigences

• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Business, Finance, or related discipline • Master's degree preferred or equivalent combination of education and experience • 8+ years of enterprise data engineering experience • Expert experience with Snowflake, SQL, Informatica, Python, and modern cloud data platforms • Experience designing enterprise data warehouses, dimensional models, and scalable ELT architectures • Experience supporting financial reporting, reconciliations, and mission-critical production data platforms • Experience administering cloud platforms, including AWS services supporting enterprise data engineering • Experience leading technical architecture, mentoring engineers, and influencing engineering standards • Advanced SQL, Python, and data engineering practices • Snowflake administration, security, optimization, and performance tuning • Informatica Intelligent Data Management Cloud / PowerCenter or equivalent integration technologies • AWS S3, IAM, Secrets Manager, and cloud-native integration patterns • Enterprise data modeling, governance, metadata, lineage, and data quality • CI/CD, source control, monitoring, observability, automation, and DevOps practices • Strong communication, collaboration, mentoring, and technical leadership skills • Ability to influence architecture and engineering decisions across matrixed teams without direct authority • Preferred: Power BI administration and semantic modeling • Preferred: Financial systems and ERP data integration • Preferred: Enterprise governance and AI-ready data platforms • Preferred: Experience leading modernization of enterprise data platforms