Solutions Architect - Digital Native Business (DNB)
Databricks2 days ago
Base Salary
$180k - $248k/yr
Responsibilities
- Own end-to-end technical strategy for customer accounts from initial discovery through production deployment and consumption growth.
- Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, streaming, lakehouse, and real-time analytics.
- Advise customer architects, engineering leads, and directors as a trusted technical partner.
- Drive technical wins in competitive scenarios through custom-built solutions and Databricks differentiation.
- Develop a technical specialization and become a go-to resource for the team in that domain.
- Orchestrate DSAs, SSAs, and partners to deliver comprehensive solutions for complex customer needs.
- Provide structured customer and competitive feedback to influence product direction.
- Demonstrate live coding, debugging, and solution-building skills in Python and SQL.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong proficiency in Python and SQL, including live coding, debugging, and solution building.
- Deep expertise designing distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform or the ability to achieve proficiency rapidly, with a developing specialization in an area such as streaming, ML/AI, governance, or migrations.
- Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
- Production deployment experience on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
- Track record of driving 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, experience with Snowflake, AWS native services, or Azure Synapse, data/AI or cloud-provider experience, and industry expertise are preferred.
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.