Forward Deployed Engineer
AI summary of the role
Hitachi Vantara seeks a Forward-Deployed Engineer to partner directly with customers, designing and prototyping composable data and AI solutions that validate technical feasibility and business value.
What you’ll do
- Design and prototype data virtualization architectures for unified, near real-time access to distributed data sources.
- Build prototype-level API-based extraction, streaming, ETL, and ELT pipelines.
- Execute proof-of-value engagements using customer and industry datasets, building AI-driven prototypes for RAG, automation, and agentic workflows.
- Build lightweight ROI, TCO, and cost comparison models to support POV outcomes.
What you’ll bring
- Strong experience with data virtualization platforms such as Zetaris, Starburst, Dremio, or equivalent.
- Hands-on exposure to modern data platforms including Databricks, Snowflake, Teradata, and cloud-native data warehouses.
- Proficiency with Spark, Presto, SQL, distributed query engines, and performance optimization.
- Experience building prototype-level ETL/ELT pipelines and integration workflows.
Technologies
Zetaris · Starburst · Dremio · Databricks · Snowflake · Spark · Presto · NVIDIA · GenAI · RAG
About Hitachi Energy
Builds grid hardware, HVDC systems, power electronics, software, and services that utilities, data centers, transport, and industry use to electrify reliably.
Acquired · 5000+ people
Source and classification
Technical pre-sales · Evidence for this classification:
– from banks to theme parks - can focus on achieving the incredible with data. If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data. What You Will be Doing Position Overview We are seeking a highly skilled Forward-Deployed Engineer (FDE) with deep expertise in data virtualization, hybrid cloud architectures, and AI-driven solution validation. This role partners directly with customers to design and prototype composable data and AI solutions that validate technical feasibility, performance assumptions, and measurable business value across distributed data ecosystems. The FDE role
More from the job description
Function Services Our Company We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data. If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data. Job description This role is open to candidates who are local and authorized to work in Toronto or New York. Our Company We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks - can focus on achieving the incredible with data. If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data. What You Will be Doing Position Overview We are seeking a [... source excerpt omitted ...] skilled Forward-Deployed Engineer (FDE) with deep expertise in data virtualization, hybrid cloud architectures, and AI-driven solution validation. This role partners directly with customers to design and prototype composable data and AI solutions that validate technical feasibility, performance assumptions, and measurable business value across distributed data ecosystems. The FDE role blends hands-on engineering, limited-scope economic modeling, and customer-facing technical storytelling. The ideal candidate thrives in the field, integrating partner technologies, building working prototypes, and demonstrating GenAI and agentic AI outcomes using customer and industry datasets. R [... source excerpt omitted ...] ng technical feasibility and business value through hands-on prototyping and customer facing engagements. This role is not: A Professional Services delivery role responsible for production implementation A standard Pre-Sales or Solution Architecture role focused on product configuration An operational or run-state ownership role This role partners closely with: Sales and Solution Architecture for opportunity shaping and technical validation Professional Services and Managed Services for delivery and operational handoff Product and Engineering teams for field feedback, validation, and learning transfer Key Responsibilities Data Architecture & Engineering Design and protot
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