Solutions Architect - Communications, Media, Entertainment and Games
Databricks2 months ago
Base Salary
$180k - $248k/yr
Responsibilities
- Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
- Lead architecture discussions and design scalable production solutions spanning data engineering, ML/AI, streaming, lakehouse patterns, and real-time analytics.
- Advise customer architects, engineering leads, and directors on technical strategy and trade-offs.
- Build custom solutions and demonstrate Databricks differentiation in competitive scenarios.
- Develop a technical specialization and become a team resource in that domain.
- Coordinate DSAs, SSAs, and partners to deliver comprehensive customer solutions.
- Provide structured customer and competitive feedback to influence product direction.
Requirements
- 6+ years of experience 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.
- Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform or the ability to become proficient rapidly, with developing specialization in an area such as streaming, ML/AI, data governance, or migrations.
- Experience leading architecture discussions, whiteboarding, design reviews, and trade-off analysis with senior technical stakeholders.
- Experience deploying production systems on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
- Proven ability to drive platform adoption and consumption growth within customer accounts.
- Excellent communication skills for translating complex architectures into business value for technical and executive audiences.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Databricks certifications and experience with Snowflake, AWS native services, Azure Synapse, data/AI companies, cloud providers, or relevant industry domains are preferred.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- The total compensation package may include an annual performance bonus and equity.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.