Senior Data Platform Engineer (Orchestration)

Chartis is a healthcare-focused consulting and advisory firm that helps organizations develop and activate transformative strategies, operating models, and solutions. The Senior Data Platform Engineer will build, scale, and operate data platform infrastructure, including orchestration pipelines, observability, metadata management, lifecycle controls, and compliant cloud architectures. The role also involves infrastructure automation, reliability and cost optimization, cross-functional planning, knowledge sharing, and mentoring junior engineers.

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
• 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

Requirements:

• 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.)
• 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
• Enthusiasm and a desire for continuous learning in a fast-paced, entrepreneurial environment
• 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