Data Platform Engineer
Core
Design, evolve, and scale core data infrastructure and distributed pipelines to power real-time analytics, AI research, and mission-critical cyber-physical protection.
Role type
Senior IC Data Platform Engineer
Builds
Cloud-native data platform, distributed pipelines, microservices, and ML/LLM data flows
Domain
Cybersecurity / Cyber-physical systems (CPS) / Cloud Data Engineering
Deliverable
production ML models
Required skills
Python, microservices architecture, Spark, AWS ecosystem, DWH modeling, SQL, data modeling, workflow orchestration, real-time streaming, ML/LLM pipelines, Vector Databases
Preferred skills
AI productivity tools
Technologies
Python, Spark, AWS (S3, Glue, RDS, EMR), Airflow, Kafka, Kinesis, Flink, Vector Databases
Responsibilities
Design and build complex distributed data pipelines; Build and maintain high-performance microservices and APIs; Implement data management, quality assurance, and security best practices; Partner with cross-functional teams to transform data needs into customer value; Integrate and manage data flows for ML and LLM pipelines; Leverage AI tools to streamline daily work.
Seniority
Senior, hands-on IC
