Databricks
Solutions Architect - Communications, Media, Entertainment and Games
$180K–$248K
Northeast - United States +1 · Full-time · Posted Aug 27, 2026
- Location
- Northeast - United States
San Francisco, 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 architecture to drive Databricks platform adoption and deliver production data, AI, and analytics solutions.
What you'll do
- Own account technical strategy from discovery through production deployment and growth in platform consumption.
- Design scalable solutions and advise customer technical leaders through architecture discussions and competitive demonstrations.
- Coordinate cross-functional resources, develop a technical specialization, and provide structured feedback to influence product direction.
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, lakehouse patterns, and cloud-native data platforms.
- Experience deploying production solutions on AWS, Azure, or GCP, including infrastructure, security, and governance.
- 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.
Pay
$180,000 — $247,500 USD base salary (Zone 1); $180,000 — $247,500 USD base salary (Zone 2); $180,000 — $247,500 USD base salary (Zone 3); $180,000 — $247,500 USD base salary (Zone 4)
Tools
Python, SQL, Databricks Platform, AWS, Azure, GCP, Snowflake, Azure Synapse
AI focus
Position Databricks as the foundation of customers’ data and AI strategy; design solutions spanning ML/AI and support development of a specialization such as ML/AI.
Model-written summary · the original posting is authoritative