Solutions Architect - Digital Native Business
Hybrid (Regional (remote with travel))$139.7k - $247.3kPosted 11mo ago
About the role
Solutions Architect role focusing on designing and guiding big data, data science, and ML architectures for customers using Databricks platform and APIs, with collaboration across sales, product, and customer-facing teams.
Responsibilities
- 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 fellow Solutions Architects, supporting 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.
Qualifications
- 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 (e.g., Spark, Hadoop, Kafka) or Data Science and ML technologies (e.g., 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
Required:Data engineeringData Science / Machine LearningPython programmingSQL
Benefits
- Benefits details available via regional link in the job description
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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