Data Platform Engineer
Core
Design and implement scalable data architectures and platforms to enable AI-driven business transformations for enterprise clients.
Role type
Senior Data Platform Engineer
Builds
Scalable data platforms, data mesh/fabric solutions, and AI agent infrastructure on AWS and Azure
Domain
Enterprise AI, Cloud Data Engineering, Data Governance
Deliverable
production ML models | infrastructure
Required skills
AWS data services (DataZone, Bedrock, Redshift, Glue), Azure data services (OpenSearch, OpenAI, Fabric, Purview, Data Factory, Synapse), Python, containerization (Docker, Kubernetes), vector/graph databases (Pinecone, Neo4j, Neptune), data mesh/fabric patterns, ETL and streaming services (Glue, MSK, Kinesis, Kafka), API specifications
Preferred skills
AI/ML workflow familiarity, AI developer tools (Cursor, GitHub Copilot), data modeling and wrangling
Responsibilities
Establish data strategy roadmaps, design scalable data architectures, implement data mesh/fabric solutions, establish governance and control planes, collaborate with AI Engineers, support Pathway platform development, create AI agents for data lifecycle management
Seniority
Senior, hands-on IC