Full-Time

Technical Lead Manager

Distributed Data Systems

Confirmed live in the last 24 hours

Onehouse

Onehouse

51-200 employees

Data lakehouse solution for efficient data management

No salary listed

Senior, Expert

Bengaluru, Karnataka, India

Hybrid

This is a hybrid role, which implies that there will be some in-office days required.

Category
Data Engineering
Data & Analytics
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
  • Experience building data integration/streaming/ingestion systems
  • Experience with large scale data compute engines/processing frameworks
  • 3+ years of experience leading teams building data systems
  • Ability to plan, execute, and deliver projects on time and within budget
  • Effective communication skills
  • Strategic thinker and problem solver
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 not only the area of your team, but in multiple functional areas
  • Writing code, review pull requests, provide constructive feedback
  • Maintain a deep understanding of data engineering principles
  • 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 main product is a fully managed service that allows clients to organize various types of data seamlessly, using formats like Apache Hudi, Apache Iceberg, and Delta Lake. This service automates data management tasks such as clustering, compaction, and encryption, making it easier for businesses to handle their data without needing extensive engineering resources. 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 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 costs.

Company Size

51-200

Company Stage

Series B

Total Funding

$68M

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Onehouse's Compute Runtime accelerates queries up to 30x, reducing cloud costs significantly.
  • The platform's open-source focus avoids vendor lock-in, ensuring interoperability and flexibility.
  • Recent $35M funding supports further development and expansion of Onehouse's offerings.

What critics are saying

  • Increased competition from major cloud providers like Microsoft and Google threatens market position.
  • Reliance on open-source projects exposes Onehouse to community-driven development risks.
  • Usage-based pricing model may lead to revenue unpredictability if customers minimize usage.

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, 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

Growth & Insights and Company News

Headcount

6 month growth

6%

1 year growth

2%

2 year growth

3%
Newswire
Jan 17th, 2025
Onehouse Announces Compute Runtime To Accelerate Workloads Across All Leading Cloud Query Engines

Advanced runtime optimizations - delivered centrally on top of open formats - accelerate queries 2x to 30x and slash customer cloud infrastructure bills 20 to 80 percent

VentureBeat
Jan 16th, 2025
Apache Hudi Creator Onehouse Debuts Specialized Runtime Promising 30X Faster Data Lakehouse Queries

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. As organizations store increasing volumes of information in data lakehouses, queries can potentially become slower and more costly.That is a challenge that Onehouse is looking to help solve. The data lakehouse technology vendor is a leading contributor to the open source Apache Hudi and Apache XTable data lake table formats. Today, the company is advancing its vision of a universal data lakehouse with its new Onehouse Compute Runtime (OCR), which offers the promise of queries that are accelerated up to 30X. That speed can potentially lead to dramatic cost savings of up to 80%, according to Onehouse.There are multiple open data lake table formats in use today, including Apache Hudi, Apache Iceberg and Delta Lake

Newswire
Aug 22nd, 2024
Onehouse Launches Vector Embeddings Generator for Managing Vectors at Scale on the Data Lakehouse

Onehouse is launching a vector embeddings generator to automate embeddings pipelines as a part of its managed ELT cloud service.

VentureBeat
Jun 26th, 2024
Onehouse secures $35M to advance open data lakehouse technology

Onehouse is continuing to build out open source Apache Hudi data lake technology, data lake table format interoperability with Apache XTable, alongside the company’s own Universal Data Lakehouse.

SiliconANGLE
Jun 26th, 2024
Onehouse Raises $35M, Launches New Products

Managed data lakehouse company Onehouse Inc. raised $35 million in a Series B funding round, bringing its total funding to $68 million. The company also launched two new products to enhance lakehouse performance and reduce cloud costs. Onehouse, which supports Apache Hudi, Apache Iceberg, and Delta Lake, focuses on openness and interoperability. CEO Vinoth Chandar highlighted the platform's ability to optimize data across Snowflake and Databricks, emphasizing its open and interoperable framework.