The Impact You Will Drive:
- As an engineering leader in the Data Infrastructure team, you will 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, with an eye towards building for the long term by setting a high bar for technical design, code quality and developing our engineers into high performing, technical leaders that are skilled and excited to build the next generation data stack.
- Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads.
A Typical Day:
- 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 our 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.
- Outstanding ownership of not only the area of your team, but in multiple functional areas such as data compute engines, distributed systems, and data storage systems.
- Writing 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 result in an elevated customer experience.
- Actively participate in technical design discussions and ensure that the team is making 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 said vision.
What You Bring to the Table:
- Technical Expertise: You’ve 8-10+ years of software engineering experience in Java, 5+ years working on data systems and possess deep technical knowledge and skills, staying current with the latest technologies, frameworks, and best practices. Your coding skills are sharp, and you are capable of tackling complex technical challenges head-on.
- Technical Depth: You've experience in building large scale distributed systems and experience in 1 of 3 following areas:
- 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
- Leadership Skills: You’ve 3+ years of experience leading teams building data systems, have a track record of successfully leading and mentoring teams. You understand how to motivate and develop your team members, fostering a collaborative and high-performance work environment.
- Project Management: You excel in project management, with the ability to plan, execute, and deliver projects on time and within budget. Your organizational skills and attention to detail ensure that nothing falls through the cracks
- Communication: You are an effective communicator, capable of conveying technical concepts to non-technical stakeholders and ensuring that your team is aligned with the company’s vision and goals.
- Problem Solver: You are a strategic thinker and a problem solver, always looking for ways to improve processes and outcomes. Your analytical mindset helps you navigate complex issues and find innovative solutions.
Top Skills
What We Do
Onehouse delivers a universal data lakehouse through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running. Onehouse offers the widest interoperability for your data in the market across table formats, multiple compute engines and multiple cloud providers.
We have a stellar team of inspired, seasoned professionals including data, distributed systems, and platform engineers from Uber, LinkedIn, Confluent, and Amazon. Our product team has helped build enterprise data products at major enterprises including Azure Databricks.








