Forward Deployed Engineer

This is a fully remote position, open to applicants in New York, +1 more state.

📋 Description

• Design and prototype architectures for data virtualization to enable unified, near real-time access to distributed data sources.

• Develop prototype-level pipelines for extraction, streaming, ETL, and ELT using API-based solutions.

• Integrate distributed query and transformation engines, including Spark, Presto, and SQL-based platforms, in proof-of-value (POV) environments.

• Create reference architectures and functional prototypes across various platforms such as AWS, Azure, GCP, private cloud, and on-premises settings.

• Conduct evaluations of workloads and performance metrics for compute, networking, storage, and GPU-accelerated environments.

• Execute proof-of-value engagements utilizing customer and industry datasets.

• Develop AI-driven prototypes that demonstrate RAG, automation, and agentic workflows.

• Illustrate the feasibility of AI solutions using hybrid and GPU-accelerated environments.

• Convert prototype results into narratives that highlight technical and business value.

• Construct lightweight models for ROI, TCO, and cost comparisons.

• Assess architectural trade-offs within defined validation efforts.

• Estimate the financial impact of GenAI and agentic AI use cases.

• Transform business requirements into prototype-level architectures.

• Lead discovery sessions, conduct technical workshops, and oversee POV execution.

• Collaborate with sales, solution architecture, product, and delivery teams for smooth handoff.

• Partner with Professional Services and Managed Services for effective delivery and operational handoff.

• Provide field feedback, validation, and learning transfer to Product and Engineering teams.

⛳️ Requirements

• Extensive experience with data virtualization platforms like Zetaris, Starburst, Dremio, or similar technologies.

• Practical knowledge of Databricks, Snowflake, Teradata, and cloud-native data warehouses.

• Proficient in Spark, Presto, SQL, distributed query engines, and concepts of performance optimization.

• Experience in developing prototype-level ETL/ELT pipelines and integration workflows.

• Familiarity with API-based data integration patterns.

• Background working in hybrid, multi-cloud, and on-premises environments.

• Understanding of enterprise infrastructure and accelerated compute platforms from vendors like Hitachi, Cisco, Supermicro, HPE, Dell, Pure, and NVIDIA.

• Knowledge of data governance, security, and access control principles.

• Ability to operate within large-scale enterprise data ecosystems comfortably.

• Previous experience in forward-deployed engineering, field engineering, or customer-facing technical roles.

• Experience in supporting consultative, prototype-driven, or POV-led sales motions.

• Practical exposure to GenAI or agentic AI solutions within validation or demonstration contexts.

• Experience utilizing industry datasets or benchmarking frameworks.

• Excellent communication skills, capable of simplifying complex technical concepts.

🏝️ Benefits

• Bonus, variable, or commission pay programs, where applicable.

• Comprehensive benefits, support, and services for overall health and wellbeing.

• Flexible arrangements based on role and location.

• Autonomy, freedom, and a sense of ownership.

• Commitment to an equal opportunity workplace.

• Reasonable accommodations during the recruitment process.