Senior Platform Engineer

Senior Platform Engineer

Working within Chartis' Data Platform & Infrastructure team, the Senior Platform Engineer is a hands-on individual contributor responsible for building, scaling, and operating the Azure infrastructure that underpins Chartis' platforms. This role sits at the intersection of cloud infrastructure, platform reliability, and delivery execution, with a mandate to enable reliable, scalable, and self-service data consumption across consulting engagements, internal analytics, and productized offerings - primarily through Terraform-managed Azure environments.

You will design, deploy, and maintain core Azure infrastructure using Terraform, supporting modern data pipelines, search infrastructure, and foundational platform capabilities built on Microsoft Azure, Snowflake, dbt, and Python. You should be deeply comfortable operating in an infrastructure-as-code environment and able to independently own Terraform modules and pipelines end-to-end. Chartis' Data Platform & Infrastructure team plays an exciting role within Chartis, helping to design, build, and deploy cutting-edge capabilities to aid our clients across the healthcare industry while growing the firm's overall data and analytics capabilities. We're looking for collaborative, creative problem solvers with a strong desire to materially improve the delivery of healthcare. You are a doer who is comfortable operating in small, early-stage teams where everyone is hands-on.

Responsibilities

• Build and maintain scalable Terraform modules and pipelines that provision and manage Azure infrastructure supporting both client-specific and reusable firmwide analytics, alongside Snowflake, dbt, and Python components of the stack.
• Provision and operate content search infrastructure on Azure (e.g., Azure AI Search) via Terraform, supporting enterprise search and RAG capabilities for AI agents and services.
• Implement and operate orchestration and pipeline management solutions using modern data stack tools (e.g., Dagster, Astronomer / Airflow), with a focus on reliability, observability, and scalability.
• Embed data lifecycle management into platform design, including retention, archival, and deletion controls aligned with regulatory obligations and client agreements.
• Ensure data ingestion and storage architectures are compliant with healthcare regulatory requirements (e.g., HIPAA), including secure handling of PHI, audit logging, and encryption in transit and at rest.
• Drive performance, reliability, and cost optimization across the data platform.
• Translate business, product, and client requirements into executable engineering plans, balancing near-term delivery needs with longer-term investments and collaborating closely with our Product Engineering, Analytics Delivery, and Security teams to align platform capabilities with firm priorities.
• Support the continued development of data and analytics culture across Chartis through knowledge share, cross-functional training, and mentorship.
• Mentor junior engineers and contribute to firmwide engineering standards around code quality, documentation, testing, and operational excellence.

Qualifications and Desired Skills

• 7+ years of experience in platform or infrastructure engineering roles, with a substantial portion focused on cloud infrastructure.
• Bachelor's degree in a technology-related field of study (e.g. Computer Science, Health Informatics, Management Information Systems (MIS), Data Science, Analytics, etc.)
• Deep hands-on experience with Terraform to manage and deploy Microsoft Azure infrastructure. You should be fluent in Terraform (modules, state management, workspaces, CI-driven plan/apply workflows) and well-grounded in core Azure infrastructure principles — networking, identity (Entra ID / RBAC), storage, compute, key management, and monitoring. You should be comfortable independently designing, building, and deploying Terraform-based infrastructure from the ground up.
• Experience with cloud-based data warehouses (Snowflake or Databricks) and with orchestration tools (Azure Data Factory, Dagster, GitHub Actions, etc.)
• Working knowledge of data ingestion patterns, including batch processing and exposure to change data capture (CDC) concepts.
• Experience establishing engineering standards, CI/CD practices, and observability for data platforms.
• Experience building and scaling components of data platforms that support self-service analytics and multiple downstream consumers.
• Strong communication skills with the ability to translate between technical and non-technical stakeholders.
• Exposure to healthcare data or familiarity with core healthcare data concepts (e.g., claims, clinical, operational data) is preferred; deep domain expertise is not required.
• Enthusiasm and a desire for continuous learning in a fast-paced, entrepreneurial environment.

Salary range: $185,000 - $215,000, plus may be eligible for an annual discretionary bonus. The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skills, experience, training, licensure and certifications, practice area, and other business and organizational needs. In addition, Chartis offers several benefits including medical, dental, vision, HSA, FSA, disability insurance, life insurance, 401(k) match, paid time off, wellness stipend, and additional voluntary benefits.

At Chartis, we pride ourselves on having a diverse workforce. We value and celebrate the uniqueness of individuals and the different perspectives they provide. We offer equal opportunity employment regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, or protected veteran status.