Full-Time

Field Engineer

Posted on 9/27/2024

Striim

Striim

201-500 employees

Real-time data integration and streaming intelligence platform

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$130k - $150kAnnually

Mid

Remote in USA

Must be based 100% remote in the Continental United States.

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Python
MySQL
SQL
Apache Kafka
Java
Oracle
Linux/Unix
Databricks
Snowflake
Google Cloud Platform
Requirements
  • A successful candidate must be based 100% remote somewhere in the Continental United States
  • 3+ years of experience in customer-facing technical roles, e.g., Sales Engineer/Pre-sales Engineer, Solutions Architect, Data Engineer, Customer Success Engineer
  • 3+ years of experience with database management systems software such as Oracle, MySQL, Microsoft SQL Server, and SQL Programming Language
  • 3+ years of experience programming languages such as Java, Python, Shell scripting
  • 3+ years of experience or deep core knowledge of Cloud infrastructure and Data Services such as Amazon AWS, Microsoft Azure and Google Cloud
  • Principle knowledge in working with, configuring, and troubleshooting Operating Systems based on Unix/Linux and Windows
  • Experience working with Message Systems such as Kafka and JMS
  • Experience in working with Enterprise data environments and Mission Critical IT systems is desirable
  • Knowledge of Snowflake, Google BigQuery or Databricks is a plus
  • Excellent written, verbal, and presentation communication skills
  • Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, or Information Systems
Responsibilities
  • Onboard new Striim customers, delivering learning, solution strategy, technical enablement, and implementation guidance during the deployment process.
  • Lead customer technical teams during development phases to implement best practices and innovate enterprise adoption challenges.
  • Support the seamless transition from pre-sales prototypes to post-sales production scale experiences.
  • Collaborate with customer success and account management teams to conduct periodic health checks with customers, ensuring operational excellence with Striim.
  • Be the Striim product expert, coach, and trusted technical advisor during deployment.
  • Be the in-house customer champion, coordinating with Striim customer support and stakeholders to drive technical advocacy, product evolution, and technical innovation.
  • Proactively engage existing Striim customers to realize technology value with further adoption of the Striim platform, demonstrating new applications and use cases for Striim.
  • Increase internal knowledge base by developing and/or maintaining documentation related to Striim implementations, best practices, and troubleshooting.
  • Track customer issues, collaborate with support on customer-training-related matters, and work with customer to develop and track product feature requests (PFRs).
  • Report on the status of key accounts, including escalations, to the manager and Customer Success Manager (if applicable).

Striim offers a platform for real-time data integration and streaming intelligence, enabling businesses to efficiently manage large volumes of data. The platform connects to various data sources like Google Cloud, AWS, and Azure, and operates on a subscription-based Software as a Service (SaaS) model. It includes machine learning features for intelligent actions and supports schema evolution to adapt to data changes. Striim's goal is to remove barriers in data management, allowing businesses to utilize their data for better analytics and operations.

Company Stage

Series C

Total Funding

$134.7M

Headquarters

Palo Alto, California

Founded

2012

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-10%

2 year growth

8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Striim's integration with Microsoft Fabric and AWS Cloud positions it as a key player in the cloud modernization and real-time analytics space.
  • The company's partnerships with industry leaders like YugabyteDB and Snowflake can drive innovation and open new market opportunities.
  • Striim's appointment of experienced leaders like Neil Holloway and Nadim Antar indicates a strong focus on strategic growth and regional expansion.

What critics are saying

  • The competitive landscape of data integration and streaming intelligence is crowded, requiring Striim to continuously innovate to maintain its edge.
  • Dependence on strategic partnerships means that any disruption in these relationships could impact Striim's market position.

What makes Striim unique

  • Striim's platform uniquely combines real-time data integration with built-in machine learning functions, setting it apart from traditional ETL solutions.
  • The company's focus on schema evolution and distributed streaming SQL allows for seamless data transformations and scalability, unlike many competitors.
  • Striim's strategic partnerships with major cloud providers like Microsoft Azure and AWS enhance its platform's capabilities and market reach.

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