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Staff Solutions Architect (Data Infrastructure)

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Onsite

Staff Solutions Architect (Data Infrastructure)

Onehouse

Staff Solutions Architect (Data Infrastructure)

Skills

Google Cloud PlatformData EngineeringProduct StrategyKafkaAWSdbtApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$220,000 – $250,000 / year

Location:

Sunnyvale, CA, USA

Work mode:

Onsite

Published on:

21 October 2026

What they need


  • As a Staff Solutions Engineer at Onehouse, you will operate as a technical thought leader and trusted advisor to our most strategic customers
  • You’ll go beyond implementation to drive architectural decisions, influence product strategy, and mentor both customers and internal teams
  • This is a high-impact, high-autonomy role at the intersection of engineering, product, and go-to-market
  • You’ll be a visible face of Onehouse in the modern data community and play a key role in shaping how companies build their next-generation data lakehouses
  • You will establish trust in the organization to build and scale the team during our next phase of company growth
  • Partner with customers during pre-sales to understand needs, design solutions, and position Onehouse effectively
  • Drive technical onboarding for enterprise customers, sometimes directly, sometimes by guiding a team
  • Lead incident response and resolution for customer-facing escalations, ensuring transparency and trust throughout the process
  • Build demos, solution guides, and technical content for sales and marketing enablement
  • Contribute to the open source community and represent Onehouse at industry events
  • Develop high-leverage internal tooling, frameworks, and content to scale the solutions engineering function
  • Mentor other Solutions Engineers and broader GTM team members
  • Analyze recurring pain points and partner with Engineering and Product teams to influence roadmap direction

Benefits

  • 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

  • Strong opinions on how the future of open data infrastructure should be built and the skills to influence it

  • Experience with modern data lakehouse technologies like Apache Hudi, Apache Iceberg or Delta Lake

  • Extensive technical experience building, operating, and troubleshooting diverse data engineering pipelines with tools like Kafka, Flink, Presto/Trino, DBT, Airflow, Parquet

  • Proven track record of cross-functional collaboration and leadership without authority

  • Exceptional written and verbal communication skills being able to synthesize technical topics for both executive and technical stakeholders

  • 8+ years of experience with major cloud providers like AWS, GCP or Azure

  • 8+ years of experience working directly with customers on technical engagements

  • 5+ years of deep experience with Apache Spark and knowledge on Spark’s runtime internals, query tuning, performance tuning, troubleshooting and debugging Spark solutions

  • Experience in contributing to an open source project

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