Full-Time

Technical Lead Manager

Distributed Data Systems, India

Onehouse

Onehouse

51-200 employees

Fully managed data lakehouse service platform

No salary listed

Bengaluru, Karnataka, India

Hybrid

Category
Engineering Management (1)
Required Skills
Java
Data Engineering
Requirements
  • You have 8-10+ years of software engineering experience in Java.
  • You have 5+ years working on data systems.
  • You have 3+ years of experience leading teams building data systems.
  • You excel in project management, with the ability to plan, execute, and deliver projects on time and within budget.
  • You are an effective communicator capable of conveying technical concepts to non-technical stakeholders and ensuring alignment with the company’s vision and goals.
  • You are a strategic thinker and a problem solver with an analytical mindset.
Responsibilities
  • Oversee the execution of projects related to data infrastructure development, ensuring they are delivered on time, within budget, and meet quality standards. Work closely with architects, product managers and cross-functional teams to prioritize initiatives and turn requirements into executable tasks.
  • Develop team governance and rituals, establish and run regular meetings to drive consensus and execution with the core India team.
  • Mentor junior engineers on the team by providing technical guidance and support to the team and facilitate technical discussions and decision-making processes.
  • Own the area of your team and contribute across multiple functional areas such as data compute engines, distributed systems, and data storage systems.
  • Write code, review pull requests, provide constructive feedback, and maintain high code quality standards, leading by example as an engineer at heart.
  • Maintain a deep understanding of data engineering principles, best practices, and emerging technologies to drive engineering initiatives that elevate customer experience.
  • Actively participate in technical design discussions and ensure the team makes the most effective decisions.
  • 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 the stated vision.

Onehouse provides a fully managed data lakehouse service that runs on open storage and supports table formats like Apache Hudi, Apache Iceberg, and Delta Lake. It continuously ingests and optimizes data with automated tasks such as clustering, compaction, masking, and encryption, plus easy change data capture for up-to-date data. Pricing is usage-based, claiming data-management cost reductions of 50% or more versus traditional cloud warehouses and ETL tools; deployment is quick with minimal engineering. The goal is to simplify and reduce costs while enabling fast access for BI, real-time analytics, and AI/ML workloads.

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

  • $35M Series B in June 2024 funds sales expansion through 2026.
  • Vector embeddings generator targets AI/ML vector management at scale.
  • LakeView free tool converts users to paid via observability.

What critics are saying

  • Databricks Delta Lake dominance erodes multi-format strategy in 12 months.
  • Snowflake Iceberg integration commoditizes managed lakehouse in 6 months.
  • Databricks acquires Onehouse for $200-500M in 12-36 months.

What makes Onehouse unique

  • Onehouse builds managed lakehouse on Apache Hudi, Iceberg, and Delta Lake.
  • Apache XTable gains Microsoft and Google support for format interoperability.
  • Compute Runtime accelerates queries 30x across cloud engines.

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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

4%

1 year growth

4%

2 year growth

4%
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 Media
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.