Full-Time

Tech Lead Manager

Data Infrastructure, US

Confirmed live in the last 24 hours

Onehouse

Onehouse

51-200 employees

Data lakehouse solution for efficient data management

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$230k - $260kAnnually

+ Equity Compensation

Senior, Expert

Sunnyvale, CA, USA

Hybrid position in Sunnyvale, CA.

Category
Backend Engineering
Software Engineering
Required Skills
Java
Requirements
  • 8-10+ years of software engineering experience in Java
  • 5+ years working on data systems
  • Deep technical knowledge and skills, staying current with the latest technologies, frameworks, and best practices
  • 2+ years of experience leading teams building data systems
  • Track record of successfully leading and mentoring teams
  • Ability to plan, execute, and deliver projects on time and within budget
  • Effective communicator, capable of conveying technical concepts to non-technical stakeholders
  • Strategic thinker and problem solver, always looking for ways to improve processes and outcomes
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
  • Set a high bar for technical design, code quality and developing our engineers into high performing, technical leaders
  • 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
  • Work closely with architects, product managers and cross-functional teams to prioritize initiatives
  • Develop team governance and rituals, establish and run regular meetings
  • Mentor junior engineers on the team by providing technical guidance and support
  • Outstanding ownership of not only the area of your team, but in multiple functional areas
  • Writing code, review pull requests, provide constructive feedback, and maintain high code quality standards
  • Maintain a deep understanding of data engineering principles, best practices, 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 to drive said vision

Onehouse.ai offers a data lakehouse solution that helps businesses manage and optimize their data efficiently. Their main product is a fully managed service that allows clients to organize various types of data without needing extensive technical resources. The platform supports different table formats like Apache Hudi, Apache Iceberg, and Delta Lake, making it adaptable to various data requirements. Onehouse.ai stands out from competitors with its usage-based pricing model, which can significantly lower data management costs compared to traditional cloud data warehouses. The company's goal is to simplify data management for businesses of all sizes, enabling them to scale their data operations while minimizing expenses.

Company Stage

Series B

Total Funding

$66.1M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

8%

1 year growth

8%

2 year growth

87%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing $35M in Series B funding and launching new products enhances Onehouse.ai's ability to innovate and expand its market presence.
  • Partnerships with industry giants like Microsoft and Google for the OneTable project highlight Onehouse.ai's influence and potential for reshaping the cloud data lake landscape.
  • Winning the 2023 Digital Innovator Award from Intellyx underscores Onehouse.ai's leadership and recognition in the digital transformation space.

What critics are saying

  • The competitive landscape in data management and cloud computing is intense, with major players like Snowflake and Databricks posing significant challenges.
  • Reliance on open-source technologies may lead to slower adoption rates among enterprises wary of open-source solutions.

What makes Onehouse unique

  • Onehouse.ai's focus on open storage and interoperability with multiple table formats like Apache Hudi, Iceberg, and Delta Lake sets it apart from competitors who may lock clients into proprietary systems.
  • The usage-based pricing model offers a cost-effective alternative to traditional cloud data warehouses, reducing data management costs by 50% or more.
  • Onehouse.ai's automated data management features, such as clustering, compaction, and encryption, provide a seamless and optimized data experience without extensive engineering resources.

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