Senior Data Platform Engineer, Healthcare Data (Multi-Cloud)

Datavant2; United States; On-site; USD 190,000 - 230,000; Full time

Job summary

Datavant is seeking a Staff Data Engineer to lead the design and development of its next-generation patient data platform. This role requires a hands-on technical leader with strong architectural judgment and deep implementation expertise in distributed data systems.

The right candidate will define how complex data is processed and validated in a multi-tenant, multi-cloud environment, working closely with analytics and AI-driven use cases.

Join us in transforming healthcare data management.

Qualifications

• 10+ years of experience in building data-intensive or distributed systems.
• Proven experience designing and operating large-scale data platforms in production.
• Deep expertise in distributed data processing systems (e.g., Spark).

Responsibilities

• Lead the architecture and development of core data platform capabilities.
• Build large-scale distributed data processing systems across batch and real-time workloads.
• Define and evolve data lifecycle patterns for data processing.

Skills

Distributed data processing frameworks (e.g., Spark, Flink)

Cloud data platforms (e.g., Databricks, Snowflake)

Data transformation frameworks (dbt)

Workflow orchestration systems (e.g., Airflow)

Streaming and event-driven systems (e.g., Kafka)

Infrastructure-as-code (e.g., Terraform)

Job description

Datavant is seeking a Staff Data Engineer to lead the design and development of its next-generation patient data platform. This role requires a hands-on technical leader with strong architectural judgment and deep implementation expertise in distributed data systems.

The right candidate will define how complex data is processed and validated in a multi-tenant, multi-cloud environment, working closely with analytics and AI-driven use cases.

Join us in transforming healthcare data management.