Staff Solutions Architect, Onehouse
Data Infrastructure
$220-250k
Plus equity
Office located in Sunnyvale, CA
Pre-built data lakehouse foundation
Open for applications
Pre-built data lakehouse foundation
21-100 employees
Open for applications
$220-250k
Plus equity
Office located in Sunnyvale, CA
21-100 employees
Company mission
To aid companies of all sizes in supercharging their data engineering/data science, by automating painful data infrastructure buildout.
Role
Who you are
- 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
Desirable
- Experience in contributing to an open source project
What the job involves
- 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
Our take
Managing the ballooning volume of unstructured data is becoming a tough task for enterprise companies. The traditional solution, data lakes, doesn’t offer management or transaction capabilities. This lack of oversight could lead to data violations, which are becoming more costly as regulations tighten. Onehouse is catering to the growing number of businesses opting for an alternative, the so-called ‘data lakehouse’. It's a hybrid architecture that offers the management and transaction capabilities of a warehouse, with the cost-effectiveness of a data lake.
The Onehouse platform is a management plane that helps businesses set up a data lakehouse without having to invest the time and expertise in building one from scratch. With an open data format, it can be used to work with protected or sensitive data; it also allows companies to easily pull their data from Onehouse without egress fees if they decide to leave the service.
Onehouse has carved out an astute market niche for itself: businesses under increasingly close scrutiny, but with ballooning data pools, who don’t need to build out highly customized lakehouses. For the moment, this tends to be top-tier enterprises, which is how Onehouse has secured deep-pocketed clients like Walmart, Amazon, Zendesk, and Uber. As the first company to make fully managed data lakes possible, it is no surprise that it has received substantial funding. This will allow it to continue advancing the platform and grow its team to meet market demand.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jun 2024
$35m
SERIES B
Feb 2023
$25m
SERIES A
Total funding: $68m
Company 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
Company HQ
Sharon Heights, Menlo Park, CA
Leadership
Vinoth Chandar
(Founder & CEO)Previously a Principal Engineer at Uber, then Confluent, and subsequently served as VP of Apache Hudl at The Apache Software Foundation.
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