Solutions Architect - Digital Native Business
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.
About the job
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).
- Nice to have: Databricks Certification.
Skills
Spark, Delta Lake, MLflow, Python, SQL, AWS, Azure, GCP, Hadoop, Kafka
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