Databricks
Solutions Architect - Communications, Media, Entertainment and Games
$180K–$248K
Remote - Pennsylvania +1 · Remote · Full-time · Posted Aug 27, 2026
- Location
- Remote - Pennsylvania
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 for Databricks, from discovery through deployment and adoption, with a developing specialization in a data or AI domain.
What you'll do
- Own account technical strategy and lead scalable architecture design and production deployment.
- Advise customer technical leaders, demonstrate Databricks in competitive scenarios, and drive adoption and consumption growth.
- Coordinate cross-functional teams and provide structured customer feedback to influence product direction.
What they ask for
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong Python and SQL coding proficiency, including live coding, debugging, and solution building.
- Expertise in distributed data systems and production public-cloud deployments, including infrastructure, security, and governance.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); ability to lead architecture discussions with senior technical stakeholders.
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
Designs solutions spanning ML/AI and real-time analytics; develops a technical specialization that may include ML/AI.
Model-written summary · the original posting is authoritative