Senior Data Platform Engineer

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.

Role Overview

Working within Chartis’ Data Platform & Infrastructure team, the Senior Data Platform Engineer 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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 data 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 a modern data orchestration tool such as Airflow, Dagster, or similar tools.
• Hands-on experience with data catalog and metadata management platforms such as DataHub, Apache Atlas, or similar tools.
• Strong understanding of data observability, metadata management, data lineage, and data governance concepts.
• Experience with cloud-based data warehouses (Snowflake or Databricks) and with orchestration tools (Azure Data Factory, Dagster, GitHub Actions, etc.).
• 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.

Pay

Salary range: $185,000 - $215,000, plus may be eligible for an annual discretionary bonus.

Benefits

• Medical
• Dental
• Vision
• HSA
• FSA
• Disability insurance
• Life insurance
• 401(k) match
• Paid time off
• Wellness stipend
• Additional voluntary benefits

Equal Opportunity Employer

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.