Solutions Architect
Databricks2 months ago
Singapore, SingaporeSenior
Responsibilities
- Own end-to-end technical strategy for customer accounts from initial discovery through production deployment and consumption growth.
- Lead architecture discussions and design production-grade solutions spanning data engineering, ML/AI, and real-time analytics.
- Advise customer architects, engineering leads, and Directors on technical strategy and solution trade-offs.
- Drive technical wins in competitive scenarios through custom-built solutions and Databricks differentiation.
- Develop a technical specialization and serve as a go-to resource within the team.
- Coordinate DSAs, SSAs, and partners to deliver comprehensive solutions for complex customer needs.
- 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 designing 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 a developing specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations.
- 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.
- Databricks certifications and experience with Snowflake, AWS native services, or Azure Synapse are preferred.
- Experience in a data/AI company or cloud provider and industry domain expertise are preferred.
Benefits
- Databricks offers comprehensive regional benefits and perks; specific details vary by region.
- The position is based in Singapore.
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.