Senior Data Platform Engineer
Core
Building a streaming-first, domain-oriented data platform foundation enabling near real-time access for analysts, engineers, AI systems, and business users.
Role type
Senior Data Platform Engineer
Builds
Streaming data pipelines, hybrid Databricks/Snowflake architecture, unified storage layer, and governed data surfaces.
Domain
Cybersecurity / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Streaming architectures, event-driven data pipelines, schema governance, data quality, data lifecycle management, large-scale distributed systems design, Infrastructure as Code (IaC), cloud platforms (AWS/GCP), Big Data query engines (Databricks/Snowflake/Redshift), Python/Go/Scala/Java, compute layer management (EC2/ECS/EKS)
Preferred skills
Apache Kafka, Kinesis, Flink, Prometheus, Grafana, Datadog, Dagster, dbt, secure system implementation, encryption, IAM
Technologies
Apache Kafka, Protobuf, Apache Iceberg, Databricks, Snowflake, Terraform, Ansible, Python, Go, Scala, Java
Responsibilities
Design and maintain streaming-first data platform; build and operate hybrid Databricks and Snowflake architecture; own unified storage layer; champion platform standards and best practices.
Seniority
Senior, hands-on IC with mentorship
