Responsibilities
- Partner with customers during pre-sales to understand needs, design solutions, and position Onehouse effectively.
- Drive technical onboarding for enterprise customers, sometimes directly, sometimes by guiding a team.
- Lead incident response and resolution for customer-facing escalations, ensuring transparency and trust throughout the process.
- Build demos, solution guides, and technical content for sales and marketing enablement.
- Contribute to the open source community and represent Onehouse at industry events.
- Develop high-leverage internal tooling, frameworks, and content to scale the solutions engineering function.
- Mentor other Solutions Engineers and broader GTM team members.
- Analyze recurring pain points and partner with Engineering and Product teams to influence roadmap direction.
Must Haves
- 8+ years of experience working directly with customers on technical engagements.
- 8+ years of experience with major cloud providers like AWS, GCP or Azure.
- 5+ years of deep experience with Apache Spark and knowledge on Spark’s runtime internals, query tuning, performance tuning, troubleshooting and debugging Spark solutions.
- Extensive technical experience building, operating, and troubleshooting diverse data engineering pipelines with tools like Kafka, Flink, Presto/Trino, DBT, Airflow, Parquet.
- Exceptional written and verbal communication skills being able to synthesize technical topics for both executive and technical stakeholders.
- Proven track record of cross-functional collaboration and leadership without authority.
- Experience with modern data lakehouse technologies like Apache Hudi, Apache Iceberg or Delta Lake.
- Strong opinions on how the future of open data infrastructure should be built and the skills to influence it.
Bonus Skills
- Experience in contributing to an open source project.
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.






