Staff Solutions Architect - Data Infrastructure

Job description

**About Onehouse** Onehouse 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! **Job Description** As a Staff Solutions Engineer at Onehouse, you will operate as a technical thought leader and trusted advisor to our most strategic customers. You’ll go beyond implementation to drive architectural decisions, influence product strategy, and mentor both customers and internal teams. This is a high-impact, high-autonomy role at the intersection of engineering, product, and go-to-market. You’ll be a visible face of Onehouse in the modern data community and play a key role in shaping how companies build their next-generation data lakehouses. You will establish trust in the organization to build and scale the team during our next phase of company growth. ### Responsibilities - Partner with customers during pre-sales to understand needs, design solutions, and position Onehouse [effectively.](http://effectively.Drive) - [Drive](http://effectively.Drive) technical onboarding for enterprise customers, sometimes directly, sometimes by guiding a [team.](http://team.Lead) - [Lead](http://team.Lead) incident response and resolution for customer-facing escalations, ensuring transparency and trust throughout the [process.](http://process.Build) - [Build](http://process.Build) demos, solution guides, and technical content for sales and marketing [enablement.](http://enablement.Contribute) - [Contribute](http://enablement.Contribute) to the open source community and represent Onehouse at industry [events.](http://events.Develop) - [Develop](http://events.Develop) high-leverage internal tooling, frameworks, and content to scale the solutions engineering [function.](http://function.Mentor) - [Mentor](http://function.Mentor) other Solutions Engineers and broader GTM team [members.](http://members.Analyze) - [Analyze](http://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.](http://solutions.Extensive) - [Extensive](http://solutions.Extensive) technical experience building, operating, and troubleshooting diverse data engineering pipelines with tools like Kafka, Flink, Presto/Trino, DBT, Airflow, [Parquet.](http://Parquet.Exceptional) - Exceptional written and verbal communication skills being able to synthesize technical topics for both executive and technical [stakeholders.](http://stakeholders.Proven) - [Proven](http://stakeholders.Proven) track record of cross-functional collaboration and leadership without [authority.](http://authority.Experience) - [Experience](http://authority.Experience) with modern data lakehouse technologies like Apache Hudi, Apache Iceberg or Delta [Lake.](http://Lake.Strong) - [Strong](http://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.