Solutions Architect - Communications, Media, Entertainment and Games
Denver · Colorado · USD 180,000-247,500 / year · 4+ years experience · Remote · Posted Oct 19, 2026
At a glance
- Experience
- 4+ years experience
- Workplace
- Remote
- Location
- Denver · Colorado
- Salary
- USD 180,000-247,500 / year · OTE
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform in a customer-facing role.
- You will identify use cases for Databricks, develop architectures and solutions using the platform, and guide customers through implementations to deliver strategic business value.
- This role involves partnering with the sales team to build customer relationships and establish yourself as a trusted advisor while working with open-source projects like Apache Spark™, MLflow, and Delta Lake.
Responsibilities
- Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
- Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, technical guides, and demo applications for customers
- Provide escalated support for critical customer operational issues
- Become an expert in, and evangelize Databricks driven open-source projects across developer communities through meetups, conferences, and webinars
- Use your strengths to help your fellow SAs, and drive cross-functional relationships across the company
- Travel to customers up to 30%
Requirements
- 4+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
- Have built solutions with public cloud providers, such as AWS, Azure, or GCP
- Experience in at least one of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka); Data Warehousing (e.g., SQL, OLTP/OLAP/DSS); Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
Preferred qualifications
- Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
- Databricks Certification
Workplace
- Travel to customers up to 30%
Skills
- Apache Spark
- MLflow
- Delta Lake
- Koalas
- Python
- Scala
- Java
- SQL
- R
- AWS
- Azure
- GCP
Show all 15 skills
- Hadoop
- Kafka
- Pandas
