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About
Owner.com
Owner is the all-in-one platform that restaurants use to succeed online.Ā Thousands of restaurant owners use our tools to build their website, drive online orders, create their own branded app, manage their customer relationships, and set up marketing automations.Ā You can think of it as Shopify meets HubSpot, but specifically for restaurants.Ā Learn more about the problems we are solving for our customers here.Ā š
Our vision
Weāre starting by helping independent restaurants succeed online.But itās not just restaurants that need our help. All local service-based businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive.So, once we nail the solution for restaurantsĀ āĀ weāll scale it into every other local business type.In the future we envision, weāll build the technology that tens of millions of local business owners need to succeed in the digital age.ā
Our team
Our team grew from 40 people to 90 people in 2023. Weāve got top talent from the most successful companies in SMB software like Shopify, HubSpot, DoorDash, ProCore, and ServiceTitan.Weāre scaling even faster in 2024 to keep pace with our customer growth.š
Our traction
In just over 3 years we've generated tens of millions in revenue, served millions of guests, and have processed hundreds of millions of orders.More importantly, weāve helped thousands of restaurant owners save their businesses - and notĀ only survive, but thrive.š«µ
Why weāre looking for you
We are building a scalable, modern Data Platform at Owner.com. As a Data Platform Engineer, you will play a pivotal role in shaping the data landscape and driving the strategic use of data across the organization. You will be instrumental building SSOT models in DBT & Snowflake, maintaining robust, scalable data pipelines and enhancing our data infrastructure to support analytics and data-driven decision-making.This role is 100% remote and can be based anywhere in the United States or Canada
š» The impact you will have
- Design and implement scalable, efficient Data Platform that supports that drives the business value.
- Improve time to insight by preparing SSOT data models for all departments in the company.
- Build processes to improve Data Team efficiency and quality of delivered Data Products (CI/CD, SQLFluff, Data Catalog etc).
- Optimize data ingestion and integration processes from a variety of sources, ensuring data is accurate, timely, and consistent.
- Improve Data Quality within all business systems we use, sharing data integrity guidelines and collaborating with different stakeholder.
š„ Who youāll work with
- This role reports to our Director of Data Analytics, Piotr Rosiak.
- You will partner closely with Data Scientists and key stakeholders from all departments.
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Minimum requirements
- At least 5 years of experience in a data engineering or analytics engineering role.
- A proven track record of developing and managing Data Platforms from the scratch.
- Snowflake expertise: configuring data warehouses, performance optimizations, implementing security policies to ensure data integrity and compliance.
- Expert in SQL and DBT: strong track record of designing conceptual data models, developing comprehensive data tests, and establishing a clear, efficient single source of truth (SSOT).
- Ability to build comprehensive end to end Data products.
- Moderate Python experience would be considered an asset.
- Highly organized, with an eye for precision and a love for keeping things tidy.
- Experience with SaaS and/or startups is highly preferred.
- Prior experience in the restaurant industry is a plus!
š Pay and benefitsUSA: $153,000 - $175,000 USD CAN: $133,000 - 150,000 CADThe estimated base salary range will vary based on geographic location. Total compensation packages will also include a generous equity pre-IPO equity package. Other benefits include comprehensive health coverage, work from anywhere (100% remote workplace), unlimited PTO - plus extra fun perks!Apply for this job
