Forward Deployed Engineer
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Job Description
Forward-Deployed Engineer designing AI solutions and validating data architectures at Hitachi Vantara. Partnering with customers to build prototypes and demonstrate business value across data ecosystems.
Responsibilities:
- design and prototype data virtualization architectures enabling unified, near real-time access to distributed data sources for validating feasibility, performance, and integration assumptions.
- build prototype-level API-based extraction, streaming, ETL, and ELT pipelines.
- integrate distributed query and transformation engines such as Spark, Presto, and SQL-based platforms in POV environments.
- create reference architectures and working prototypes across AWS, Azure, GCP, private cloud, and on-premises environments.
- perform workload and performance evaluations for compute, networking, storage, and GPU-accelerated environments.
- execute proof-of-value engagements using customer and industry datasets.
- build AI-driven prototypes showcasing RAG, automation, and agentic workflows.
- demonstrate AI feasibility using hybrid and GPU-accelerated environments.
- translate prototype outcomes into technical and business value narratives.
- build lightweight ROI, TCO, and cost comparison models to support POV outcomes.
- evaluate architectural trade-offs within bounded validation efforts.
- estimate financial impact of GenAI and agentic AI use cases.
- translate business requirements into prototype-level architectures.
- lead discovery sessions, technical workshops, and POV execution.
Requirements:
- strong experience with data virtualization platforms such as Zetaris, Starburst, Dremio, or equivalent technologies.
- 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 concepts.
- experience building prototype‑level ETL/ELT pipelines and integration workflows.
- knowledge of API‑based data integration patterns.
- experience working in hybrid, multi‑cloud, and on‑prem environments.
- familiarity with enterprise infrastructure and accelerated compute platforms from vendors such as Hitachi, Cisco, Supermicro, HPE, Dell, Pure, and NVIDIA.
- understanding of data governance, security, and access control principles.
- comfort operating within large‑scale enterprise data ecosystems.
Benefits:
- flexible arrangements that work for you (role and location dependent)
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