Full-Time

Engineering Manager

Distributed Data Systems

Updated on 1/22/2025

Onehouse

Onehouse

51-200 employees

Data lakehouse solution for efficient data management

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$240k - $270kAnnually

Senior, Expert

Sunnyvale, CA, USA

Hybrid position in Sunnyvale, CA.

Category
Data Engineering Management
Engineering Management
Required Skills
Java
Requirements
  • 8-10+ years of software engineering experience in Java
  • 5+ years working on data systems
  • Experience in building large scale distributed systems
  • Experience with the inner workings of distributed database systems or large scale data compute engines/processing frameworks
  • 1+ years of experience leading teams building data systems
  • Ability to plan, execute, and deliver projects on time and within budget
  • Effective communication skills
  • Strategic thinking and problem-solving abilities
Responsibilities
  • Create the vision for and enable the team to build and productionize the next generation of our data tech stack
  • Balance a mix of people management and technical hands-on work
  • Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine
  • Oversee the execution of projects related to data infrastructure development
  • Develop team governance and rituals
  • Mentor junior engineers on the team
  • Outstanding ownership of multiple functional areas such as data compute engines, distributed systems, and data storage systems
  • Writing code, reviewing pull requests, and maintaining high code quality standards
  • Maintain a deep understanding of data engineering principles and emerging technologies
  • Actively participate in technical design discussions
  • Hire and develop the best talent possible
  • Be responsible for the growth and development of the team
  • Work cross-functionally with product management leadership

Onehouse.ai offers a data lakehouse solution that helps businesses manage and optimize their data efficiently. Their fully managed service allows clients to organize various types of data seamlessly, using formats like Apache Hudi, Apache Iceberg, and Delta Lake. This platform automates data management tasks such as clustering, compaction, and encryption, making it easier for companies to handle rapidly changing data. Onehouse.ai stands out from competitors with its usage-based pricing model, which can reduce data management costs by 50% or more compared to traditional methods. The goal of Onehouse.ai is to simplify data management for businesses of all sizes, enabling them to scale their data operations effectively while minimizing costs.

Company Stage

Series B

Total Funding

$66.1M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-4%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Onehouse's Compute Runtime accelerates queries up to 30X, reducing cloud costs by 80%.
  • The $35M Series B funding round indicates strong investor confidence in Onehouse.
  • Interoperability with major data lake formats positions Onehouse to avoid vendor lock-in.

What critics are saying

  • Competition from major cloud providers like Microsoft and Google could threaten Onehouse's market position.
  • Reliance on open-source projects may expose Onehouse to risks of slower updates.
  • Economic downturns could impact Onehouse's usage-based pricing model, affecting revenue.

What makes Onehouse unique

  • Onehouse offers a cloud-native managed lakehouse service built on Apache Hudi.
  • The platform supports multiple table formats like Apache Hudi, Iceberg, and Delta Lake.
  • Onehouse provides automated data management services, reducing operational burdens for businesses.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Unlimited Paid Time Off

Paid Sick Leave

Paid Holidays

Remote Work Options

Meal Benefits

Parental Leave