Forward Deployed Engineer

Job not on LinkedIn

🔥 0 minutes ago

🗽 New York, Massachusetts – Remote

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💵 $125k - $270k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

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Logo of Hitachi

Hitachi

10,000+ employees

Founded 1910

🚘 Automotive

🏗️ Construction

💼 Consulting

Automotive • Construction • Consulting

Hitachi, Ltd. is a global company that operates in various sectors with a focus on social innovation. Hitachi provides advanced digital solutions, services, and technologies under its brand 'Lumada' to solve customers’ challenges and enhance societal value. The company is committed to sustainability and environmental, social, and governance (ESG) initiatives, aiming to improve quality of life through technologies that foster a sustainable society. Hitachi's products and solutions span digital systems, green energy, mobility, and connective industries, promoting digital transformation of business systems and social infrastructure. Founded in 1910, Hitachi's long-standing dedication to innovation and societal development makes it a leader in driving positive change worldwide.

📋 Description

• 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 • 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 • 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 • Collaborate with sales, solution architecture, product, and delivery teams for handoff • Partner with Professional Services and Managed Services for delivery and operational handoff • Provide field feedback, validation, and learning transfer to Product and Engineering teams

🎯 Requirements

• Strong experience with data virtualization platforms such as Zetaris, Starburst, Dremio, or equivalent technologies • Hands-on exposure to 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 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 • Prior experience in forward-deployed engineering, field engineering, or customer-facing technical roles • Experience supporting consultative, prototype-driven, or POV-led selling motions • Hands-on exposure to GenAI or agentic AI solutions in validation or demonstration contexts • Experience leveraging industry datasets or benchmarking frameworks • Strong communication skills with the ability to simplify complex technical concepts

🏖️ Benefits

• Bonus/variable/commission pay programs, where applicable • Industry-leading benefits, support, and services for holistic health and wellbeing • Flexible arrangements, role and location dependent • Autonomy, freedom, and ownership • Equal opportunity workplace • Reasonable accommodations during the recruitment process

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