Databricks
Solutions Architect - Adtech
United States +1 · Remote · Full-time · Posted Oct 19, 2026
- Location
- United States
Remote - California - Experience
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
About the job
Leads customer technical strategy and adoption of Databricks, designing production-grade data, AI, and analytics solutions and advising customer technical leaders.
What you'll do
- Own account technical strategy from discovery through production deployment and consumption growth.
- Lead architecture discussions and demonstrate Databricks solutions in competitive scenarios.
- Coordinate cross-functional resources, develop a technical specialization, and provide product feedback.
What they ask for
- Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
- Expertise in distributed data systems, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Experience leading architecture discussions and deploying production solutions on AWS, Azure, or GCP.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
Nice to have
- Databricks certifications (Data Engineer, ML, Platform).
- Experience with competitive platforms such as Snowflake, AWS native services, or Azure Synapse.
Tools
Python, SQL, Databricks Platform, AWS, Azure, GCP, Snowflake, Azure Synapse
AI focus
Designs solutions spanning ML/AI and supports customers’ data and AI strategy; possible specialization in ML/AI.
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