Solutions Architect
Databricks2 days ago
Stockholm, SwedenSenior
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-grade solutions spanning data engineering, ML/AI, streaming, and real-time analytics.
- Advise customer architects, engineering leads, and Directors on technical strategy and trade-offs.
- Build custom solutions to demonstrate Databricks differentiation in competitive scenarios.
- Develop a technical specialization and serve as a go-to resource for the team.
- Coordinate DSAs, SSAs, and partners to deliver comprehensive customer solutions.
- Provide structured customer and competitive feedback to influence product direction.
Requirements
- 6+ years of customer-facing experience in pre-sales, consulting, or advisory work, including solutions architecture, data engineering, and hands-on technical roles.
- Strong hands-on coding and building skills in Python and SQL, including live coding and debugging.
- 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.
- 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.
- 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, cloud/data vendor experience, industry expertise, and Swedish or another Nordic language are preferred.
Benefits
- Hybrid work arrangement; the posting is Stockholm-based and marked #LI-hybrid.
- Comprehensive benefits and perks, with region-specific details available from Databricks.
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.