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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr FinOps Engineer Lead - **Company:** The Children's Hospital of Philadelphia - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Salary:** $129,700.0 - $171,900.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Server Applications, Microsoft Azure, Bash Shell, Big Data, Software as a Service, Cloud Computing, Information Systems, Computer Networks, Continuous Delivery, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Stores, Debian Linux, Linux, DevOps, Distributed Systems, Groovy, Apache Hadoop, Apache Hive, Python (Programming Language), Automation of Marketing, Scrum Methodology, Red Hat Enterprise Linux, Power BI, OpenAI, Ansible, Microsoft Copilot, Software Engineering, SQL Databases, Sqoop, Systems Integration, Enterprise Data Management, Scripting, Google Cloud, Azure Data Factory, Large Language Models, Apache Spark, Multi-Cloud, Git, Microsoft Fabric, Apache Flume, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Apache Kafka, Spark Streaming, Api Design, Cloud Optimization, Puppet, Terraform, Stream Processing, Software Version Control, Docker, Jenkins, Microservices - **Published:** October 28, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88720917/1 ## About the Role * Bachelor's Degree - Required * Master's Degree Computer Science, Informatics, Information Systems or another quantitative field - Preferred * FinOps Certified Engineer or FinOps Certified Practitioner (FOCP) - Preferred Preferred Technical Skills * Azure * Azure migrations * Cloudability * Wiz Cloud Cost, * At least six (6) years Managing data and analytics infrastructure such as Hadoop/Spark clusters, SQL/No SQL data stores and/or application hosting platforms - Required and * At least one (1) year Experience working with at least one of the public cloud platforms such AWS/Azure/GCP - Required * At least eight (8) years managing data and analytics infrastructure such as Hadoop/Spark clusters, SQL/No SQL data stores and/or application hosting platforms Preferred and * At least two (2) years working with at least one of the public cloud platforms such AWS/Azure/GCP - Preferred Skills and Abilities * Good hands on experience with Linux (RHEL/Debian) operating system * Good understanding of Distributed computing, Scalable architectures and micro services architecture * Hands on experience in establishing and governing code based CI/CD pipelines using job automation platforms such as Jenkins. * Experience with at least one of the infrastructure automation tools such as Terraform, Ansible, Chef, Puppet etc., * Knowledge of version control systems such as Git. * Deep understanding of Operating system concepts and networking concepts. * Ability to code with scripting languages such as Python, Bash, groovy etc., * Experience with Container Orchestration platforms such as Docker, Kubernetes etc., * Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc. * Basic knowledge of data integration tools: DBT, Informatica, MS Integration Services etc. * Experience with stream-processing systems: IBM Streams, Flume, Storm, Spark-Streaming, etc. * Experience consuming and building APIs * Experience utilizing Agile methodology for development To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must receive an annual influenza vaccine. Learn more. ## Description The Enterprise Data & Analytics Team is an essential part of the Center of Healthcare Quality & Analytics (CHQA) team within the Children's Hospital of Philadelphia (CHOP). Its mission is to ingest, manage, and transform the enterprise's data assets into actionable insights which improve the healthcare delivery system. The Enterprise Data & Analytics team functions include Data Engineering, Application Development, Data Governance, Business Intelligence, Analytics Services (Visualization, Process Improvement, and Business Analysis) and Advanced Analytics. This position would primarily focus on implementing DevOps principles through agile/lean/continuous delivery methods to operationalize Data and analytics platform and products. This role expands on building a strong foundation in cloud infrastructure and DevOps, this role has evolved to lead Cloud Financial Operations (FinOps) strategy and execution across CHOP's multi-cloud environment spanning Azure, AWS, and GCP What you will do * Champion a FinOps culture across engineering, finance, and operations - driving shared cloud cost accountability aligned to the FinOps Foundation framework. * Design and operationalize showback and chargeback models across Azure, AWS, and GCP for accurate cost allocation to business units and products. * Define and enforce cloud tagging taxonomy and governance policy across all three hyperscalers to ensure consistent cost attribution and billing compliance. * Analyze and optimize committed spend coverage across Azure Reservations, AWS RIs/Savings Plans, and GCP CUDs - maximizing ROI on organizational cloud commitments. * Deliver executive-level cloud financial reporting and self-service dashboards via Power BI and FinOps Hub - translating multi-cloud spend into strategic business narratives. * Architect and deploy Microsoft FinOps Hub as CHOP's primary cloud cost data platform, integrating Azure Data Explorer (ADX) and Microsoft Fabric as the analytics serving layer. * Develop unit economics models tying cloud spend to business outcomes - enabling cost-per-workload visibility to support engineering and finance alignment. * Serve as liaison between engineering, finance, and AP teams - translating cloud consumption into forecasts, accruals, and procurement workflows. * Identify and implement automation across billing monitoring, invoice reconciliation, cost alerting, and procurement - reducing manual toil and improving financial operations velocity. * Facilitate and govern cloud marketplace purchases across Azure, AWS, and GCP - coordinating across Networking, Supply Chain, and Finance to ensure committed spend alignment and policy compliance. * Chair the FinOps review cadence for CHOP's on-premises to cloud migration program - providing cost visibility, migration cost narrative, and financial governance oversight to stakeholders and leadership. * Establish AI cost governance and show/chargeback frameworks for LLM, Azure OpenAI, and Copilot workloads - extending FinOps principles as organizational AI adoption scales. * Evaluate and onboard FinOps tooling; lead vendor assessments with focus on data residency, private networking compliance, and AI spend visibility. * Establish best practices for managing infrastructure as code. * Build and manage on premise and cloud data/analytics platforms and products. * Identify opportunities for cost optimization and improve speed of delivery. * Identify opportunities for improvements and automation opportunities. * Ensure service reliability and service availability to ensure adequate service levels. * Build and maintain Continuous Delivery and Continuous integration pipelines for data and analytics products. * Perform incident and problem management. * Perform root cause analysis. * Partner with data analysts, product managers, engineers, and business stakeholders to obtain a holistic understanding of each team's needs and translate into infrastructure and tooling that enables a DevOps culture. * Work independently and effectively manages time across multiple priorities and projects. * Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks. * Participate in a shared production on-call support model. * Be a critical part of a scrum team in an agile environment, ensuring the team successfully meets its deliverables each sprint * Serve as a mentor for all Data Engineers. * Must possess critical thinking and creative problem solving skills along with the ability to communicate well with stakeholders throughout the organization