Senior Data Platform Engineer

Job 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 design and implementation of data ingestion, transformation, orchestration, and delivery supporting enterprise analytics.
• Support critical 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, Secrets Manager and related integrations.
• 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.
• Perform other duties supporting enterprise data engineering objectives.

Education

• 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.

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.

Knowledge, Skills & Abilities

• 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 Qualifications

• Power BI administration and semantic modeling.
• Financial systems and ERP data integration.
• Experience with enterprise governance and AI-ready data platforms.
• Experience leading modernization of enterprise data platforms.

NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.