Pre Sales Systems Engineer (US)

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!

As a pre-sales systems engineer (SE) hire candidate will be responsible for customer adoption and success of the Onehouse Managed Lakehouse solution.

 

 

 

 

Candidate will partner alongside field sales counterpart and engineering team to lead the technical aspects of the sales cycle

SE responsibilities include communicating product offerings, provide architecture guidance, run proof of value, and provide assistance in migration process

SE will provide technical leadership and frame Onehouse in the best light to prospects and customers, to evoke confidence in company’s technology infrastructure, and to remove all technical objections in the sales cycle

2-3 years of experience in pre-sales engineering role.

Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop.

Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies.

Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc.

Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns.

Strong communication skills in explaining technical architecture.

3-5 years of progressive experience implementing information technology solutions

Solutions-focused approach that requires in-depth needs analysis (discovery)

Willingness to travel to customers as needed

Desire to work in fast-paced startup environment where change is constant

End to end knowledge architecting cloud infrastructure.

Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg.

Experience contributing to open source technologies.