Senior Data Platform Engineer

NXGN Management LLC; Georgia; Hybrid; USD 150,000 - 190,000; Full time

Job summary

NextGen Healthcare is seeking a Senior Data Platform Engineer to own and modernize the enterprise data platform supporting Finance, Sales, HR and analytics. You will blend hands-on engineering with technical leadership, ensuring reliable, scalable data for close, executive reporting, AI initiatives and enterprise analytics.

You will administer Snowflake, AWS, and ETL pipelines, mentor engineers, and establish governance, quality, and automation standards across the BI and Data Engineering teams.

Qualifications

• Bachelor's degree required in a related field; Master’s preferred.
• 8+ years enterprise data engineering experience with Snowflake, SQL, Informatica and Python.
• Experience designing enterprise data warehouses, dimensional models, and scalable ELT architectures.

Responsibilities

• Own the enterprise Snowflake data platform including admin, security, RBAC, warehouse management, cost optimization, monitoring, performance tuning, and 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.

Skills

Advanced SQL

Python

Data engineering

Snowflake admin

Informatica

AWS

CI/CD

Dashboarding

Education

Bachelor's degree in CS/Engineering/IS/Math/Finance

Master's degree preferred

Tools

Snowflake

Informatica

Python

AWS

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.

NextGen Healthcare is an equal opportunity employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

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

• 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 is the healthcare technology partner for diverse ambulatory practices with evolving business needs.

We are uniquely equipped to make it easier when things get complex—combining performance at scale with operational flexibility.

This empowers practices to become confident, capable and ready for whatever comes next.