Senior Solutions Architect, Data Platform GTM

Role responsibilities

Drive technical go-to-market strategies with Data Platform ISVs and partner with them on various technical initiatives. Support emerging data platform use cases for GenAI and build repeatable go-to-market assets.

Requirements

Candidates should have a BS, MS, or PhD in relevant fields and at least 8 years of hands-on experience in Machine Learning, Deep Learning, and Data Analytics. A strong background in data platforms 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 Technologies, C/C++ Programming, Parallel Programming, Unstructured Data Processing, Customer Enablement, Technical Deep Dives, Architecture Reviews, POCs

Keywords

AI, Solutions Architect, Data Platform, Accelerated Data Analytics, Deep Learning, cuDF, Spark RAPIDS, Polars, Velox, cuVS, RAG, Agentic AI, Unstructured Data, Data Preparation, Data Retrieval, Technical Playbooks, Demos, Customer Training, NVIDIA GPUs, Performance Analysis, Debugging, Profiling, Code Optimization, Distributed Computing, Data Ecosystems, Benchmarks, Technical Deep Dives, Architecture Reviews, Customer Enablement, Sales