Senior Solutions Architect, Data Platform GTM

Role responsibilities

Drive technical go-to-market strategies with Data Platform ISVs and partner with them on architecture reviews and customer enablement. Support emerging data platform use cases for GenAI and build repeatable GTM assets.

Requirements

Candidates should have a BS, MS, or PhD in relevant fields and 8+ years of hands-on experience with Machine Learning and Data Analytics. Familiarity with data ecosystems and experience working with ISVs or enterprise customers is also required.

Key skills

Machine Learning, Deep Learning, Data Analytics, Data Platforms, Distributed Systems, Analytics, Databases, Data Processing, NVIDIA, ISVs, Technical Deep Dives, POCs, Customer Training, C/C++, Parallel Programming, Distributed Computing

Keywords

AI, Solutions Architect, Accelerated Data Analytics, Deep Learning, cuDF, Spark RAPIDS, Polars, Velox, cuVS, NeMo Retriever, RAG, Agentic AI, Unstructured Data Processing, Data Preparation, Retrieval Workflows, Technical Playbooks, Demos, Blogs, Customer Training