About Datafold
Datafold exists to make working with data more enjoyable and productive.
We are all about empowering data and analytics engineers. We find the most tedious, error-prone, and repetitive tasks and create tools to automate them. We make the world better by giving superpowers to data professionals who solve hard problems in various domains with data.
We are fully remote and a highly technical team with deep expertise in the data domain. To date, Datafold raised $22M from top-tier investors, including YCombinator, NEA & Amplify Partners.
Tech Stack
Datafold is a distributed web application with a rich interactive UI. Our backend is primarily written in Python with the use of FastAPI, SQLAlchemy, and Celery. We rely on Rust for specialized and performance-critical components. The data is stored in PostgreSQL, Neo4j (metadata graph), and Clickhouse (logs and time series). Our frontend is written in Typescript with the use of React, Redux, and GraphQL. We also use WebAssembly for performance-critical components.
We are looking for a Solutions Engineer who will lead the technical part of Datafold deployments.
Relying on your expertise in Data/Analytics/Software Engineering, you will work directly with our customers to understand their current data quality and productivity challenges design, and implement the best solution leveraging the Datafold platform.
An ideal candidate for the role is an experienced Data/Analytics Engineer with strong Software Engineering fundamentals who is passionate about finding ways to "do data better" through building valuable tools and sharing knowledge to empower others.
In this role, you will:
- Work with customers evaluating Datafold to help them successfully deploy, integrate & adopt our product in their workflows
- Identify potential blockers for customers in adopting Datafold and overcome them through building solutions, creating content, educating the users, and collaborating with our team
- Identify product improvement opportunities and communicate them to our team
- Provide thought leadership to our customers, our team, and the broader Data community on the best ways for doing high-quality data engineering by creating content, leading demos, participating in discussions & conferences
Requirements:
- Strong engineering background with hands-on software and/or data engineering experience
- Knowledge of Analytics Engineering and data warehousing principles
- Advanced knowledge of SQL; working knowledge of Python
- Familiarity with infrastructure and DevOps (AWS, GCP, Terraform, CI/CD)
- Excellent written and verbal communication
- Ability to handle and effectively resolve conflict
- Excellent listening skills, empathy, and ability to connect with people of various backgrounds, technical abilities, and cultures