Full-Time

Field Engineer

Updated on 7/23/2026

Materialize

Materialize

51-200 employees

Real-time cloud data warehouse for analytics

Compensation Overview

$145k - $160k/yr

+ Bonus + Equity

New York, NY, USA

Hybrid

Three days on-site per week required.

Category
Sales & Solution Engineering (1)
Required Skills
Kubernetes
Microsoft Azure
SQL
RDBMS
Clickhouse
Docker
Salesforce
Microservices
AWS
Databricks
Snowflake
Google Cloud Platform

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Requirements
  • 4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
  • Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
  • Proficiency with SQL and the ability to reason about query behavior and performance
  • Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
  • Strong communication skills and comfort presenting to both technical and non-technical audiences
  • A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
Responsibilities
  • Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
  • Design and deliver tailored demos and time-boxed POVs with clear success criteria
  • Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
  • Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
  • Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
  • Guide customers from closed-won to first production workloads
  • Provide architectural guidance and support customers through early adoption
  • Monitor usage patterns and surface expansion opportunities in partnership with Sales
  • Participate in status reviews and QBRs for assigned accounts
  • Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
  • Document best practices and contribute to internal enablement
Desired Qualifications
  • Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
  • Background in data infrastructure, developer tools, or technical consulting is a plus
  • Scripting experience in Python, Go, or similar languages is a plus

Materialize provides a cloud-based operational data warehouse that delivers real-time, sub-second data updates to support immediate decision-making across business operations. It processes data with a streaming engine built on Timely Dataflow and Differential Dataflow, offering real-time analytics with strong consistency and an interactive SQL-like interface so teams can both analyze and act on data. Unlike traditional warehouses that rely on batch updates, Materialize targets minute-by-minute and even second-by-second changes to drive automation, alerts, and real-time features in user-facing apps, customer data platforms, and machine learning pipelines. Its goal is to help businesses operate with up-to-the-current data, enabling faster personalization, dynamic pricing, and instant reactions to changing conditions.

Company Size

51-200

Company Stage

Series C

Total Funding

$100.5M

Headquarters

New York City, New York

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • Real-time dashboards and operational analytics fit Materialize's always-up-to-date views.
  • Customer personalization, dynamic pricing, and ML feature pipelines need its fresh data.
  • AI and RAG pipelines benefit from continuously updated, consistent operational context.

What critics are saying

  • Kafka-native architectures keep transformations inside existing streams, shrinking Materialize's wedge.
  • Snowflake and Databricks bundle fresher analytics features into broader enterprise platforms.
  • Cheaper caches, CQRS, and read replicas erode demand for low-latency query layers.

What makes Materialize unique

  • Founded in 2019, Materialize maintains SQL views incrementally over streaming data.
  • It presents streaming data through PostgreSQL-compatible, full ANSI SQL interfaces.
  • Its engine combines Timely Dataflow and Differential Dataflow for strong consistency.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

-6%
Business Wire
Mar 19th, 2024
Redpanda Serverless Delivers Powerful Streaming Data Platform As A Fully Managed Pay-As-You-Go Service

LONDON--(BUSINESS WIRE)--At Kafka Summit London, Redpanda announced the availability of Redpanda Serverless, a fully managed, pay-as-you-go edition of its powerful, cost-effective streaming data platform. Redpanda Serverless empowers developers to get started with streaming data in seconds and to automatically scale the service up or down to match their data workloads. As with all Redpanda products, Redpanda Serverless is fully Apache Kafka® API-compatible, ensuring it works with the complete Kafka ecosystem without requiring changes to application code. “The magic of Redpanda Serverless is its ability to create a globally available cluster in the blink of an eye,” said Redpanda CEO and founder Alex Gallego. “Engineered from the ground up for massive multi-tenancy, speed and performance, Redpanda Serverless is the most cost effective and simplest way to get started with streaming, whether you are a solo dev just getting started or an expert at a large enterprise looking to absorb spikes and scale to zero during downtime.”. With Redpanda Serverless, developers will be able to tap into the Redpanda streaming data ecosystem to build new real-time applications

VentureBeat
Jul 19th, 2023
Confluent Boosts Access To Real-Time Data With New Partner Program

Head over to our on-demand library to view sessions from VB Transform 2023. Register Here. Data streaming major Confluent has launched a ‘Connect with Confluent’ partner program to help technology providers like Google BigQuery and MongoDB enable faster access to real-time data streams through their products.The initiative will enable vendors to bring fully managed data streams directly to their customers through native integrations with Confluent Cloud. It also provides partners with access to technical, sales and marketing support to amplify go-to-market efforts and ensure their customers can make the most of real-time data at every stage and unlock new experiences for end users.“When companies can harness streams of real-time data from previously siloed teams and applications across their business, it creates a powerful network effect that opens new avenues for growth and innovation,” Erica Schultz, president of field operations at Confluent, said in a press statement. “As technology partners bring Confluent data streams directly into their platforms, they unlock potential for more cutting edge, real-time applications to be developed on their platform.” How will Connect with Confluent help?Enterprises are bullish on real-time data, with 89% of technology leaders saying investments in data streaming are important, while 44% cite the technology as a top strategic priority for their business. Even IDC predicts that nearly 30% of data generated by 2025 will be real-time

Enterprise Talk
Oct 4th, 2022
Materialize Launches Improved Version of Its Streaming Database

Materialize Inc. has introduced new capabilities for its namesake streaming database, which makes it easier to build applications that process data in real time.

VentureBeat
Oct 3rd, 2022
Materialize’S ‘Distributed Database’ Mobilizes Streaming Data With The Simplicity Of Sql

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. New York-based Materialize today announced the early availability of the next generation of its distributed streaming database to help enterprises mobilize their real-time streaming data with SQL

Business Wire
Oct 3rd, 2022
Materialize Makes Using Real-Time Data As Simple As Batch With New Distributed Streaming Database

NEW YORK--(BUSINESS WIRE)--Materialize today announced early availability of its distributed streaming database, which enables immediate, widespread adoption of real-time data for applications, business functions, and other data products. In an industry first for streaming data, Materialize delivers in a single platform the separation of storage and compute, strict-serializability, active replication, horizontal scalability and workload isolation — all through a simple SQL interface available as a fully-managed cloud service. Materialize is now the fastest way to build products with streaming data, drastically reducing the time, expertise, cost and maintenance traditionally associated with implementation of real-time features. Until now, adopting real-time data has come with sky-high development costs and extreme complexity in implementation, yet still lacks the capabilities necessary to truly productionalize the resulting data products. However, working with streaming data is no longer a nice-to-have for high-performing companies, and in the next decade, companies will have to work with a real-time first approach to their data. Materialize, for the first time, gives users all the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses