Customer-Facing Data Solutions Engineer

engineeringjobs.net, Inc.; Town of Montana (WI); Hybrid; USD 180,000 - 225,000; Full time

Job summary

Materialize is hiring for a Forward Deployed Engineer to embed with strategic customers and deliver end-to-end solutions with Materialize at the core. You will work with Account Executives and Field Engineering to move customers from contract to live deployment, then optimize use cases and reference architectures.

You will own architecture, pipelines, integrations, and production rollout, writing SQL and integration code in customer environments, and shaping the roadmap with product and

Qualifications

• 5+ years of engineering experience, including 1+ years in a post-sales, customer-facing role with owning complex enterprise implementations.
• Strong SQL and 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).
• 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.
• Experience taking systems from prototype to production in another environment, including performance tuning, failure modes, monitoring, and handoff.
• Comfortable owning ambiguous, high-stakes technical problems with incomplete information.
• Excellent written and verbal communication; ability to translate technical trade-offs for engineers and executives.
• Experience with another streaming SQL engine or modern data warehouse (Snowflake, BigQuery, Redshift) is a plus.
• Production experience with AI agents or LLM applications, especially the context layer feeding them fresh 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.

Responsibilities

• Own end-to-end technical delivery for a small number of flagship accounts, from architecture design through production cutover and beyond.
• Build 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 speeds deployments.
• Translate field observations into product and engineering feedback: friction points, missing features, and workarounds.
• 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.

Skills

SQL proficiency

Streaming systems

Python/Java/TypeScript

Cloud infrastructure

Production delivery

Communication

Other SQL engine / data warehouse

AI/LLM context layer

Customer-facing engineering

Job description

Materialize is hiring for a Forward Deployed Engineer to embed with strategic customers and deliver end-to-end solutions with Materialize at the core. You will work with Account Executives and Field Engineering to move customers from contract to live deployment, then optimize use cases and reference architectures.

You will own architecture, pipelines, integrations, and production rollout, writing SQL and integration code in customer environments, and shaping the roadmap with product and