Senior Data Platform Engineer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in GA
Remote
Senior level
Healthtech • Information Technology • Consulting
The Role
Senior technical owner of the enterprise cloud data platform. Responsible for Snowflake administration, ELT/ETL pipeline development, AWS integrations, data architecture, platform reliability, security, governance, automation, and mentoring. Supports finance and enterprise analytics, operational reporting, incident response, performance tuning, and platform modernization.
Summary Generated by Built In

Job Description:

This 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.
  • 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.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Business, Finance, or related discipline
  • Master's degree or equivalent combination of education and experience
  • 8+ years of enterprise data engineering experience
  • Expert experience with Snowflake (administration, security, optimization, performance tuning)
  • Experience with Informatica (Intelligent Data Management Cloud / PowerCenter) or equivalent integration technologies
  • Advanced SQL and Python skills
  • Experience designing enterprise data warehouses, dimensional models, and scalable ELT architectures
  • Experience developing and maintaining scalable ELT/ETL pipelines
  • Experience supporting financial reporting, reconciliations, month-end close and mission-critical production data platforms
  • Experience administering cloud platforms including AWS services supporting data engineering (S3, IAM, Secrets Manager)
  • Experience with CI/CD, source control, monitoring, observability, automation, and DevOps practices
  • Experience leading technical architecture, mentoring engineers, and influencing engineering standards
  • Knowledge of enterprise data modeling, governance, metadata, lineage, and data quality
  • Power BI administration and semantic modeling
  • Experience with financial systems and ERP data integration
  • Experience with enterprise governance and AI-ready data platforms
  • Experience leading modernization of enterprise data platforms

NextGen Healthcare Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NextGen Healthcare and has not been reviewed or approved by NextGen Healthcare.

  • Healthcare Strength Health coverage includes multiple Anthem medical options plus dental and vision, and company HSA contributions are provided for HDHP selections. Wellbeing resources such as mental health support and fitness programs complement the core plans.
  • Wellbeing & Lifestyle Benefits A Lifestyle Spending Account, paid Volunteer Time Off, and Employee Resource Groups are highlighted alongside flexible and remote‑friendly work arrangements. These extras add lifestyle and community value beyond core insurance.
  • Fair & Transparent Compensation Sales compensation plans are characterized as fair and transparent with competitive on‑target earnings in go‑to‑market roles. Top performers can achieve higher outcomes under these structures.

NextGen Healthcare Insights

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The Company
HQ: None
3,179 Employees

What We Do

NextGen Healthcare is on a relentless quest to improve the lives of those who practice medicine and those they care for. We provide tailored solutions to fit the precise needs of ambulatory practices, as they strive to reach the quadruple aim while navigating the journey of value-based care. The result? Healthier patients and happier providers.

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