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# Forward Deployed Engineer

- **Company:** Materialize, Inc.
- **Location:** New York, NY, United States
- **Salary:** $180,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Data Architecture, Data Warehousing, Relational Databases, Software Debugging, Fraud Prevention and Detection, Python (Programming Language), PostgreSQL, MySQL, Performance Tuning, Standard Sql, SQL Databases, Data Streaming, TypeScript, Search (Computer Science), Large Language Models, Snowflake, Change Data Capture, Agentic-AI, Event Driven Architecture, Containerization, Debezium, Apache Flink, Real Time Data, Apache Kafka, Spark Streaming, Data Pipelines, Amazon Redshift, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-ny--4f376d29-2e91-4c3c-b2d2-4566b589b17d

## About the Role

Microservices, Logistics, Business Processes, Crane, Internet Search, Artificial Intelligence (AI) Agents, Artificial Intelligence (AI), SQL (Structured Query Language), Use Cases, Sales Management, * 5+ years of engineering experience, including 1+ years in a post-sales, customer-facing role (e.g., forward deployed engineering, solutions engineering, solutions architecture, or technical consulting) with a track record of owning complex enterprise implementations

 * Strong SQL and a solid understanding of modern data architectures: relational databases, event streaming, and change data capture
 * Hands-on experience with streaming or event-driven systems (Kafka, Debezium/CDC, Kinesis, Flink, Spark Streaming, or similar)
 * You write code. Proficiency in at least one of Python, Java, or TypeScript for building integrations and tooling
 * Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
 * You've taken systems from prototype to production in someone else's environment, including the unglamorous parts: performance tuning, failure modes, monitoring, and handoff
 * Comfortable owning ambiguous, high-stakes technical problems with incomplete information, and moving without a large support structure
 * Excellent written and verbal communication: you can translate deeply technical trade-offs for both engineers and executives, and you leave behind designs and runbooks that outlive the engagement
 * Experience with another streaming SQL engine or a modern data warehouse (Snowflake, BigQuery, Redshift) is a plus
 * Production experience with AI agents or LLM applications, especially the context layer that feeds them fresh, trustworthy data, is a plus
 * Experience at a fast-growing startup, or as an early member of an FDE or professional services function, is a plus

## Description

* Own end-to-end technical delivery for a small number of flagship accounts, from architecture design through production cutover and beyond
 * Build the connectors, SQL-based views, and integrations that put Materialize into production - Postgres and MySQL CDC, Kafka, Kinesis, dbt, BI tools, and customer applications
 * Plan and run migrations from existing systems, including dual writes and controlled cutover
 * Design Materialize architectures for real-time use cases: fraud detection, dynamic pricing, operational dashboards, context for AI agents, and event-driven pipelines
 * Write and debug complex SQL and streaming pipelines directly in customer environments, alongside their engineering teams
 * Support customers through implementation, production hardening, and critical launches
 * Build the reusable layer (reference architectures, internal tooling, and implementation patterns) that makes each deployment faster than the last
 * Translate what you see in the field into clear product and engineering feedback: friction points, missing features, and the workarounds customers keep reaching for
 * Act as a trusted technical advisor on architecture, scaling, and best practices for real-time data
 * Travel roughly 20-25% for onsite customer engagements and key industry events