The Role
Pre-sales Systems Engineer who partners with field sales and engineering to lead technical sales activities: communicate product capabilities, provide architecture guidance, run proofs of value, assist migrations, and remove technical objections to drive customer adoption of the Onehouse managed lakehouse.
Summary Generated by Built In
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!
Mission
As a pre-sales systems engineer (SE) hire candidate will be responsible for customer adoption and success of the Onehouse Managed Lakehouse solution.
Responsibilities
- 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
Must Haves
- 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
Competencies
Speed and hustle → Ability to run projects from end to end on short timeframe
Quick decision making
Great communication skills
Ability to prioritize internal and external customer
Bonus Skills
- 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.
Competitive Compensation; the estimated base salary range for this role is $180,000 - $210,000
-Equity Compensation; our success is your success with eligible participation in our company equity plan
-Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits
-Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan
-Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business
-Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays
-Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ
-Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks
-Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup
-Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition
Skills Required
- 2-3 years of experience in pre-sales engineering role
- Working knowledge of Big Data technologies (Apache Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop)
- Demonstrated experience and expertise in one or more cloud providers (AWS/GCP/Azure)
- Experience with cloud-native services (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 with in-depth needs analysis (discovery)
- Willingness to travel to customers as needed
- Desire to work in a fast-paced startup environment where change is constant
- End to end knowledge architecting cloud infrastructure
- Experience with Lakehouse technologies (Apache Hudi, Delta Lake, Apache Iceberg)
- Experience contributing to open source technologies
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The Company
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.
