DatafoldDA

Solutions Engineer

At Datafold, we build tools for data practitioners to automate the most error-prone and time-consuming parts of the data engineering workflow: testing data to guarantee its quality.

Datafold

Employee count: 11-50

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About the role

We are looking for a Solutions Engineer who will lead the technical side of Datafold pre- and post- sales. Relying on your expertise in Data Engineering, you will work directly with our customers to understand their current data quality and productivity challenges, then design and implement the best solution leveraging the Datafold platform.

An ideal candidate for the role is an experienced Data Engineer or Solution Engineer from the data space 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.

What you’ll do

  • Work with customers and prospects evaluating Datafold, as part of the deployment process of our application; integrating and adopting our product in their workflows.

  • Partner with Account Executive on new business and upsell opportunities specifically on securing the technical win.

  • Identify potential blockers for customers in adopting Datafold and overcome them through building solutions, creating GTM assets, 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, and participating in discussions & conferences.

What we value

  • Strong data engineering background

  • Knowledge of ETL/ELT patterns, data warehousing and orchestration (e.g. Airflow, dbt). Strong knowledge and foundation in dbt a must have.

  • Advanced knowledge of SQL; working knowledge of Python

  • Excellent written and verbal communication

  • Ability to handle and effectively resolve conflict and manage customer accounts

  • Excellent listening skills, empathy, and ability to connect with people of various backgrounds, technical abilities, and cultures

You'd be an exceptionally strong fit if you:

  • Dbt experience is a requirement.

  • Have experience with infrastructure and DevOps (AWS, GCP, CI/CD)

  • Have advanced knowledge or have worked on database migrations

Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.

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About the job

Apply before

Jun 22, 2024

Posted on

Apr 23, 2024

Job type

Full Time

Experience level

Mid-level

Location requirements

Open to candidates from all countries.

Hiring timezones

Worldwide

About Datafold

Learn more about Datafold and their company culture.

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At Datafold, we build tools for data practitioners to automate the most error-prone and time-consuming parts of the data engineering workflow: testing data to guarantee its quality. While data quality (just like software quality) is a complex and multifaceted problem, we draw from decades of our team’s combined experience in the data domain to build opinionated tools our users love. Specifically, we believe that:

  • Data quality is a byproduct of a great data engineering workflow: That means, rather than building yet-another-app for data practitioners to switch to and from, we insert our tools in the existing workflows, for example, in CI/CD for deployment testing and IDEs for testing during development.

  • Data quality issues should be addressed before deploying the code: Most data quality issues are bugs in the code that processes data, and applying a proactive, shift-left approach is the most effective way to achieve high shipping velocity and data quality simultaneously.

  • Lack of metadata (data about data) is the biggest gap in the data engineering workflow. We bring powerful tools such as data diffing and column-level lineage to every data engineer’s workflow to help them validate the code and underlying data and fully understand the dependencies in complex data pipelines.

Employee benefits

Learn about the employee benefits and perks provided at Datafold.

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Life insurance

Life insurance so you don't have to worry.

Healthcare benefits

Medical, dental, and vision insurance for employees.

Paid Parental Leave

Datafold offers 16 weeks of fully paid parental leave to support new parents in their time of need.

Equity Offer

Employees at Datafold receive equity as part of their compensation package, aligning their success with the company's growth.

View Datafold's employee benefits
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Datafold

Company size

11-50

Founded in

2020

Chief executive officer

Gleb Mezhanskiy

Employees live in

View company profileVisit datafold.com

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