Jobs · Information Technology · California

Pre Sales Systems Engineer (US)

Onehouse · Sunnyvale, CA · 3 wk ago
HybridInformation Technology$180k–$210k/yrFull-time

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 it 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!

Responsibilities

  • Partner alongside field sales counterpart and engineering team to lead the technical aspects of the sales cycle.
  • Communicate product offerings, provide architecture guidance, run proof of value, and provide assistance in migration process.
  • 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.

Requirements

  • 2-3 years of experience in a 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 a fast-paced startup environment where change is constant.

Skills

  • 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.

Benefits

  • Competitive Compensation; the estimated base salary range for this role is $180,000 - $210,000.
  • Equity Compensation; eligible participation in our company equity plan.
  • Health & Well-being; up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits.
  • Financial Future; eligible to contribute to our company 401(k) or Roth 401(k) retirement plan.
  • Location; remote-friendly company (internationally distributed across N. America + India).
  • 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; provided 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.

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