Data Platform Engineer
Core
Design, implement, and optimize core data platform components for real-time game telemetry and low-latency analytics.
Role type
Senior Data Platform Engineer
Builds
Scalable data lakes, streaming infrastructure, and Data-as-a-Service features for business units and studios.
Domain
Gaming industry, cloud data infrastructure, real-time analytics
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, Spark, PySpark, AWS services (S3, EKS, IAM, SNS, SQS), Snowflake, Databricks, Apache Airflow, data modeling (Kimball, Inmon, Data Vault)
Preferred skills
Terraform, Monte Carlo, DataHub, Soda, Docker, Kubernetes, vector databases (Pinecone, Weaviate, Milvus), Model Context Protocol
Technologies
Snowflake, Databricks, AWS S3, Kafka, Kinesis, Apache Iceberg, Apache Airflow, Pinecone, Weaviate, Milvus
Responsibilities
Manage and scale Kafka or Kinesis streaming infrastructure; Develop Data-as-a-Service features; Optimize Spark and PySpark applications; Design and automate granular access-control and RBAC models; Ensure interoperability between data platforms using Apache Iceberg; Translate business needs into scalable technical requirements.
Seniority
Senior, hands-on IC