Engineering Manager, Distributed Data Systems (US)

About OnehouseOnehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML).
We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform!
*If not local to Bay Area, you must be willing to relocate within 45 days and onboard in person for one week. Relocation package provided.
The Community You Will JoinWhen you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake.

Who Are You?You are a seasoned technology professional with a robust technical background and proven experience in leading and managing teams. As a Tech Lead Manager, you are not only technically proficient but also adept at project management and people management. You are someone who thrives in a player-coach role, seamlessly transitioning between hands-on technical work and strategic leadership responsibilities.

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 2 following areas:
• Experience with the inner workings of distributed database systems
• Experience with large scale da