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Pre Sales Systems Engineer

at Onehouse

Sunnyvale, CA, hybrid, mid, full time, USD 1,80,000–2,10,000 / year, 3–5 years

seen 41d ago

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  • Airflow
  • Azure
  • Apache Iceberg
  • Amazon Kinesis
  • Hadoop
  • Kafka
  • AWS Glue
  • Avro
  • Presto
  • Google BigQuery
  • Amazon EMR
  • Azure HDInsight
  • GCP
  • Amazon Redshift
  • Snowflake
  • Delta Lake
  • dbt
  • Apache Hudi
  • Trino
  • Spark
  • Databricks
  • AWS

About the role

Sunnyvale, CA

Go to Market /

Fulltime /

Hybrid

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What you would do

* 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

What they are looking for

* 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

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

* 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

Read from jobs.lever.co, last seen 3d ago.

-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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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