Senior Data Platform Engineer (Observability)
Chartis
| Company | Chartis |
| Category | Uncategorised |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 16 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
SENIOR DATA PLATFORM ENGINEER (OBSERVABILITY) - DATA PLATFORM & INFRASTRUCTURE TEAM
ABOUT CHARTIS
The challenges facing US healthcare are longstanding and all too familiar. We are Chartis, and we believe in better. We work with more than 1,900 organizations annually to develop and activate transformative strategies, operating models, and organizational enterprises that make US healthcare more affordable, accessible, safe, and human. With more than 1,450 professionals, we help providers, payers, technology innovators, retail companies, and investors create and embrace solutions that tangibly and materially reshape healthcare for the better. Our family of brands—Chartis, Jarrard, Greeley, and HealthScape Advisors—is 100% focused on healthcare and each has a longstanding commitment to helping transform healthcare in big and small ways. Believe in better.
Chartis has offices in Boston, Chicago, New York, Washington D.C., and Nashville.
Remote work is allowed. #LI-Remote
ROLE OVERVIEW
Working within Chartis’ Data Platform & Infrastructure team, the Senior Data Platform Engineer (Observability) is a hands-on individual contributor responsible for building, scaling, and operating the Data Platform infrastructure that underpins Chartis’ advisory work. 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.
You will be responsible for designing, deploying, and maintaining data asset management pipelines utilizing Airflow or Dagster. You should be comfortable creating well-crafted DAGs that provide clear search, and discovery for data assets using tools like DataHub. 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
- Own the observability and search experience for the data platform, including the maintenance and evolution. Improve meta quality, lineage, and platform reliability to help users discover trusted data and make informed decisions with confidence.
- 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.
- 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.
- 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 eng
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