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Solutions Architect

Data Mechanics LogoData Mechanics


Date Posted

31 Oct, 2022

Salary Offered

Not Specified

Job Type

Full Time

Experience Required

3+ years

Remote Work

Yes

Stock Options

No

Vacancies

1 available


Data Mechanics

Data Mechanics (https://www.datamechanics.co) is a seed stage YCombinator-backed startup building a Cloud-Native Spark Platform focused on making Apache Spark more developer-friendly and cost-effective for data engineering teams. Our product is deployed inside our customers cloud account (AWS, GCP, or Azure), on a Kubernetes cluster that we create and manage for them.

We're a team of 10 (mostly engineers) based in France - half of the team is in Paris with an office space, the other half is remote. We work with customers at a global scale and across various industries. The interest from prospects and the Spark community is growing fast, and we need help to turn them all into successful customers.

The opportunity

You will lead the adoption of Data Mechanics by working with our US customers across their lifetime from pre-sales conversations, to the POC phase, and to growing the usage over time.

We're looking for a technical solutions architect with strong expertise in Spark and cloud architecture, a customer-first mindset, and an ability to execute in a fast-paced startup environment full of challenges!

As one of our first Solutions Architect, we are looking for a builder! You will have a critical impact on the success of our company, and will be rewarded accordingly.

You will:

  • Build and present reference architectures, how-tos, and demo applications for customers
  • Work with customers to help them understand, evaluate, and adopt Data Mechanics
  • Implement proof of concepts, and build integrations with customers' tools and data sources
  • Produce blog posts and customer stories and present them at meetups, webinars, and conferences
  • Ensure the success of our customers by providing help, guidance, and support
  • Lay the foundations and define best practices for your future fellow solutions architects
  • Engage with the engineering team to guide customer requests and define our roadmap

Requirements:

  • BS/MS/PhD in a scientific field or equivalent experience
  • Signficant production experience with Apache Spark and cloud architectures
  • The consulting mindset: communications and listening skills, and a customer-first mentality

Bonus points:

  • Experience in customer-facing roles
  • Production experience with Kubernetes

Required Location:

USA/Canada (ideally eastern or central time zone)

Email us at jobs@datamechanics.co to apply!

About Data Mechanics

Data Mechanics Logo

The Cloud-Native Spark Platform for Data Engineers

Company Size: 6 - 10 People
Year Founded: 2019
Country: France

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