Forward Deployed Engineer
Core
Design and prototype composable data and AI solutions to validate technical feasibility and business value for customers in distributed data ecosystems.
Role type
Senior Forward-Deployed Engineer (Data Virtualization & GenAI)
Builds
Prototype-level data virtualization architectures, API-based ETL/ELT pipelines, and GenAI/agentic AI proof-of-value demonstrations.
Domain
Data Infrastructure, Cloud Computing, Generative AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data virtualization (Zetaris, Starburst, Dremio), Modern data platforms (Databricks, Snowflake, Teradata), Distributed query engines (Spark, Presto), Hybrid/multi-cloud architecture, API-based data integration, Enterprise infrastructure (NVIDIA, Cisco, HPE, Dell), Data governance principles.
Preferred skills
Forward-deployed/field engineering experience, Consultative selling/POV execution, GenAI/agentic AI validation, Industry dataset benchmarking.
Technologies
Zetaris, Starburst, Dremio, Databricks, Snowflake, Teradata, Spark, Presto, AWS, Azure, GCP, NVIDIA, Cisco, HPE, Dell, Pure
Responsibilities
Design and prototype data virtualization architectures for distributed data sources; Build prototype-level API-based extraction, streaming, ETL, and ELT pipelines; Execute proof-of-value engagements using customer datasets to demonstrate RAG and agentic workflows; Build lightweight ROI, TCO, and cost comparison models; Lead discovery sessions and technical workshops to translate business requirements into prototypes.
Seniority
Senior, hands-on IC