Forward Deployed Engineer
Materialize2 hours ago
Base Salary
$180k - $225k/yr
Responsibilities
- Own end-to-end technical delivery for strategic accounts from architecture design through production cutover and ongoing support.
- Build connectors, SQL-based views, and integrations using relational databases, streaming systems, change data capture, dbt, BI tools, and customer applications.
- Plan and execute migrations involving dual writes and controlled cutovers.
- Design real-time architectures for fraud detection, dynamic pricing, operational dashboards, AI-agent context, and event-driven pipelines.
- Write and debug complex SQL and streaming pipelines in customer environments.
- Support implementation, production hardening, critical launches, scaling, monitoring, and handoff.
- Build reusable reference architectures, internal tooling, and implementation patterns for the FDE function.
- Provide product and engineering feedback based on customer friction points, missing features, and implementation workarounds.
- Advise customers on real-time data architecture, scaling, and best practices.
- Travel for onsite customer engagements and key industry events.
Requirements
- 5+ years of engineering experience, including at least 1 year in a post-sales, customer-facing role such as forward deployed engineering, solutions engineering, solutions architecture, or technical consulting.
- Track record of owning complex enterprise implementations from prototype through production in customer environments.
- Strong SQL skills and understanding of relational databases, event streaming, and change data capture.
- Hands-on experience with streaming or event-driven systems such as Kafka, Debezium/CDC, Kinesis, Flink, or Spark Streaming.
- Proficiency in at least one of Python, Java, or TypeScript for integrations and tooling.
- Familiarity with AWS, GCP, or Azure and containerized environments.
- Experience with performance tuning, failure modes, monitoring, production handoff, and other production-readiness concerns.
- Ability to own ambiguous, high-stakes technical problems with incomplete information.
- Strong written and verbal communication skills, including communicating technical trade-offs to engineers and executives and producing durable designs and runbooks.
- Experience with another streaming SQL engine or a modern data warehouse such as Snowflake, BigQuery, or Redshift is preferred.
- Production experience with AI agents or LLM applications is preferred.
- Experience at a fast-growing startup or as an early member of an FDE or professional services function is preferred.
Benefits
- NYC hybrid work near Astor Place with a minimum of 3 days per week in the office.
- Approximately 20–50% travel during active customer engagements, with less travel between engagements.
- Medical, financial, and/or other benefits, plus variable bonus and equity.
- Opportunity to define Materialize’s first Forward Deployed Engineering function and influence the product roadmap.
Tech Stack
Amazon RedshiftApache FlinkApache KafkaAWSAzuredbtGoogle BigQueryGoogle Cloud PlatformJavaMySQLPostgreSQLPythonSnowflakeSQLTypeScript
Categories
Forward Deployed
About Materialize
Materialize builds a real-time data platform that lets engineers create continuously updated views and data products with SQL for apps, microservices, and AI agents. It sells a managed cloud service and enterprise features on a subscription basis. The company is privately held and headquartered in New York, with customers including General Mills, Bilt Rewards, and Crane Worldwide Logistics.