Solutions Architect - Digital Native Business

The shape of it

In the posting’s own words

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

What it asks for · 10

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
• Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch, Tensorflow )
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

What the job covers

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

Degree language

• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Tools and skills named

Words the posting leans on

• data8×
• data engineering3×
• data science3×
• architecture2×
• cloud2×
• customers2×
• engineering data2×
• experience2×
• machine learning2×
• people2×
• projects2×
• solutions2×
• spark2×
• sql2×
• technical2×
• technologies2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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