Senior Full Stack Data Platform Engineer
Core
Architect scalable, high-throughput data platforms to ingest and process unstructured data (text, audio, video) for real-time trading decisions.
Role type
Senior Full Stack Data Platform Engineer
Builds
Config-driven, plugin-enabled data platforms, DAGs, and reusable pipelines for alternative data
Domain
Financial Technology / Quantitative Strategies
Deliverable
production ML models
Required skills
Python, Java, C++, Data Pipeline Architecture, Unstructured Data Processing, Vector Databases, Distributed File Systems, SQL, NoSQL, Cloud Native
Preferred skills
LLMs, NLP, Frontend Frameworks, Financial Instruments Knowledge, Document Parsing
Technologies
Kafka, Airflow, Apache Parquet, Arrow, Iceberg, KDB, Elasticsearch, Redis, Solr, MongoDB, AWS, GCP, Pinecone, Milvus, Weaviate, React, Vue, Angular, D3.js
Responsibilities
Architect low-latency data pipelines for unstructured data ingestion; Build infrastructure to serve NLP/ML models in real-time; Develop backend microservices for metadata and retrieval; Optimize database queries and serialization for millisecond latency; Implement storage strategies using Vector Databases and Distributed File Systems