Staff Solutions Architect - Data Infrastructure

Reposted 8 Days Ago
Be an Early Applicant
Sunnyvale, CA
Hybrid
220K-250K Annually
Senior level
Artificial Intelligence • Cloud • Software
The Role
As a Staff Solutions Architect, you'll guide customers on architectural decisions, mentor teams, and influence product strategy for data lakehouses.
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!

Job Description
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.

Responsibilities

  • 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.

Must Haves

  • 8+ years of experience working directly with customers on technical engagements.
  • 8+ years of experience with major cloud providers like AWS, GCP or Azure.
  • 5+ years of deep experience with Apache Spark and knowledge on Spark’s runtime internals, query tuning, performance tuning, troubleshooting and debugging Spark solutions.
  • Extensive technical experience building, operating, and troubleshooting diverse data engineering pipelines with tools like Kafka, Flink, Presto/Trino, DBT, Airflow, Parquet.
  • Exceptional written and verbal communication skills being able to synthesize technical topics for both executive and technical stakeholders.
  • Proven track record of cross-functional collaboration and leadership without authority.
  • Experience with modern data lakehouse technologies like Apache Hudi, Apache Iceberg or Delta Lake.
  • Strong opinions on how the future of open data infrastructure should be built and the skills to influence it.

Bonus Skills

  • Experience in contributing to an open source project.

-Competitive Compensation; the estimated base salary range for this role is  $220,000 - $250,000
-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

Top Skills

Airflow
Apache Hudi
Apache Iceberg
Spark
AWS
Azure
Dbt
Delta Lake
Flink
GCP
Kafka
Parquet
Presto
Trino
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The Company
HQ: Menlo Park, CA
54 Employees
Year Founded: 2021

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.

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