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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Platform Engineer - **Company:** Nextgen Healthcare Information Systems, LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Cloud Computing, Code Review, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), DevOps, Dimensional Modeling, Disaster Recovery, Identity and Access Management, Data Intelligence, Python (Programming Language), Metadata, Operational Databases, Performance Tuning, Role-Based Access Control, Runbook, SQL Databases, Enterprise Data Management, Cloud Platform System, Data Ingestion, Sql Optimization, Informatica Powercenter, Snowflake, Information Technology, Data Management, Software Version Control, Serverless Computing - **Published:** August 6, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17839009?backUrl=%2Fcareer%2F17839009%2FSenior-Data-Platform-Engineer-Georgia ## About the Role * 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. ## 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [3 Key Steps for Optimizing DevOps Workflows](https://www.wearedevelopers.com/videos/962-3-key-steps-for-optimizing-devops-workflows) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)