Senior Data Platform Engineer
Core
Design, implement, and scale robust data services on AWS to enable scalable, secure, and governed data access across the organization, empowering data scientists and domain teams.
Role type
Senior Data Platform Engineer
Builds
Self-service data ingestion APIs, metadata governance frameworks, secure data sharing patterns, and CI/CD pipelines
Domain
Biopharma / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, AWS data stack (Glue, Redshift, Iceberg, Lambda, EMR, Step Functions), Apache Airflow, dbt, Apache Spark, CI/CD, DevOps, Infrastructure-as-Code (Pulumi, Terraform), ETL/ELT workflow management
Preferred skills
Data Lakehouse and data mesh architectures, Databricks, Snowflake, cloud-native analytics platforms, data privacy and access control (OAuth, RBAC), AI/ML integration, MLOps workflows, AWS certifications
Technologies
AWS (Glue, Redshift, Iceberg, Lambda, EMR, Step Functions, S3, IAM), Apache Airflow, dbt, Apache Spark, Pulumi, Terraform, Databricks, Snowflake
Responsibilities
Design and scale data services on AWS; build platform capabilities for self-service data ingestion and governance; develop IaC modules and CI/CD pipelines; contribute to architectural design discussions; partner with Product Managers to translate business priorities into technical specs; collaborate with data scientists to enable governed data management; perform code reviews and drive platform maturity
Seniority
Senior, hands-on IC
