Collaborates with customers and teams to architect big data solutions using Databricks platform for data engineering, science, and ML. Requires 5+ years experience, Python/SQL proficiency, cloud expertise, and distributed systems knowledge.
140k – 247k/yr
Remote5+ YOESolutions Architecture
About the role
The impact you will have:
Partner with the sales team and provide technical leadership to help customers understand how Databricks solves their business problems.
Consult on Big Data architectures, implement proof of concepts for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows, and validate integrations with cloud services, home-grown tools, and third-party applications.
Collaborate with fellow Solutions Architects to support each other and users.
Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow).
What we look for:
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.
Built solutions with public cloud providers such as AWS, Azure, or GCP.
Expertise in one of the following:
Data Engineering technologies (Spark, Hadoop, Kafka).
Data Science and Machine Learning technologies (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).
Leads technical adoption of Databricks platform for emerging enterprise customers, designs data/AI architectures, builds proofs of concept, and evangelizes open-source projects like Spark and Delta Lake. Requires 5+ years customer-facing experience in data engineering/science and cloud platforms.
140k – 247k/yr
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140k – 247k/yr
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