Solutions Architect
Databricks10 hours ago
Singapore, SingaporeSenior
Responsibilities
- Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
- Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
- Serve as a trusted technical advisor to customer architects, engineering leads, Directors, and executive audiences.
- Drive technical wins and platform adoption through custom-built solutions and competitive 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 customer solutions.
- Provide structured customer and competitive feedback to influence product direction.
Requirements
- 5+ 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 in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform or demonstrated ability to become proficient rapidly, plus a developing technical specialization.
- Experience leading architecture discussions, whiteboarding, design reviews, and trade-off analysis with senior technical stakeholders.
- Experience with production deployments 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.
- Preferred qualifications include Databricks certifications, experience with Snowflake, AWS native services, or Azure Synapse, and a background in a data/AI company or cloud provider.
Benefits
- Databricks offers comprehensive benefits and perks, with details varying by region.
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.