{"id":44733,"url":"https://alion.io/job/nextgen-healthcare-senior-data-platform-engineer","title":"Senior Data Platform Engineer","company":{"id":3086,"name":"NextGen Healthcare","domain":"nextgen.com","url":"https://alion.io/company/nextgen-healthcare","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0.25,"time_to_fill_p50_days":58,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":207000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":365},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Informatica","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-25T02:52:09Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":81},"description":"Job Description:\nThis role serves as the senior technical owner of the enterprise data platform supporting Finance, Accounting, Sales, Customer Success, Product, HR and Executive Analytics. The Senior Data Platform Engineer is responsible for the architecture, engineering, administration, security, reliability, and continuous modernization of NextGen's cloud data platform. The role combines hands-on engineering with technical leadership, ensuring trusted, scalable, and well-governed data that supports operational reporting, financial close, executive decision making, AI initiatives, and enterprise analytics.Own the enterprise Snowflake data platform including administration, security, RBAC, warehouse management, cost optimization, monitoring, performance tuning, and operational reliability.\nDesign, develop, and maintain scalable ELT/ETL pipelines using Informatica, SQL, Python and cloud-native services.\nDefine enterprise data architecture, integration standards, data modeling patterns, and engineering best practices.\nLead design and implementation of data ingestion, transformation, orchestration, and delivery supporting enterprise analytics.\nSupport critical Finance processes including month-end close, bookings, ARR, revenue, cost, reconciliations, and executive reporting.\nOwn production operations including monitoring, observability, incident response, root-cause analysis, disaster recovery planning, and platform resiliency.\nAdminister AWS services supporting the data platform including S3, IAM, Secrets Manager and related integrations.\nPartner with Finance, Accounting, Product, Sales, Customer Success, HR, and IT to translate business requirements into scalable technical solutions.\nEstablish data quality, validation, reconciliation, lineage, metadata, and governance standards.\nDevelop automation for deployments, operational support, testing, monitoring, and platform administration.\nMentor engineers, perform architecture and code reviews, and provide technical leadership across the BI and Data Engineering organization.\nDevelop and maintain technical documentation, runbooks, operational procedures, and knowledge-transfer artifacts.\nEvaluate emerging technologies and recommend improvements to scalability, security, performance, and operational excellence.\nPerform other duties supporting enterprise data engineering objectives.\nEducation\nBachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Business, Finance, or related discipline.\nMaster's degree preferred or equivalent combination of education and experience.\nExperience\n8+ years of enterprise data engineering experience.\nExpert experience with Snowflake, SQL, Informatica, Python, and modern cloud data platforms.\nExperience designing enterprise data warehouses, dimensional models, and scalable ELT architectures.\nExperience supporting financial reporting, reconciliations, and mission-critical production data platforms.\nExperience administering cloud platforms including AWS services supporting enterprise data engineering.\nExperience leading technical architecture, mentoring engineers, and influencing engineering standards.\nKnowledge, Skills & Abilities\nAdvanced SQL, Python, and data engineering practices.\nSnowflake administration, security, optimization, and performance tuning.\nInformatica Intelligent Data Management Cloud / PowerCenter or equivalent integration technologies.\nAWS (S3, IAM, Secrets Manager) and cloud-native integration patterns.\nEnterprise data modeling, governance, metadata, lineage, and data quality.\nCI/CD, source control, monitoring, observability, automation, and DevOps practices.\nStrong communication, collaboration, mentoring, and technical leadership skills.\nAbility to influence architecture and engineering decisions across matrixed teams without direct authority.\nPreferred Qualifications\nPower BI administration and semantic modeling.\nFinancial systems and ERP data integration.\nExperience with enterprise governance and AI-ready data platforms.\nExperience leading modernization of enterprise data platforms.\nNextGen Healthcare is an equal opportunity employer. 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