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Salary
≈ $108k – $231k per year (Estimated)
Location
Hybrid (Sunnyvale, United States)
Seniority
Middle · 3+ years exp
Visa
H-1B filings in 12 months: 3 · for this role: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Nov 30, 2022. Onehouse scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Onehouse provides a managed data lakehouse built on Apache Hudi, the table format its founder created at Uber. It keeps data in open formats and automates ingestion, compaction and optimisation, and it hires solutions architects and distributed systems engineers. The company is headquartered in Sunnyvale, United States.

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.
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