Databricks
Solutions Architect - Communications, Media, Entertainment and Games
$180K–$248K
Remote - New York +1 · Remote · Full-time · Posted Aug 27, 2026
- Location
- Remote - New York
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, driving platform adoption and production solutions across data engineering, AI/ML, and real-time analytics.
What you'll do
- Own account technical strategy from discovery through deployment and growth; advise senior customer technical stakeholders.
- Design and demonstrate scalable production solutions, lead architecture discussions, and drive competitive technical wins.
- Develop a technical specialization, coordinate cross-functional resources, and provide structured customer feedback to influence product direction.
What they ask for
- Strong Python and SQL coding skills, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems, including scalable pipelines, streaming, lakehouse patterns, and cloud-native data platforms.
- Experience with public-cloud production deployments (AWS, Azure, or GCP) and ability to lead architecture discussions with senior stakeholders.
- 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 Snowflake, AWS native services, or Azure Synapse.
Pay
$180,000 — $247,500 USD (salary range for non-commissionable roles or on-target earnings for commissionable roles)
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 real-time analytics.
Model-written summary · the original posting is authoritative