Solutions Architect - Banking and Capital Markets (FINS)
Databricks1 day 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 complex architecture discussions and design scalable production solutions spanning data engineering, ML/AI, real-time analytics, streaming, lakehouse patterns, and cloud-native data platforms.
- Serve as a trusted technical advisor to customer architects, engineering leads, Directors, and executive audiences.
- Demonstrate Databricks differentiation through custom-built solutions and drive technical wins, platform adoption, and consumption growth.
- Develop a technical specialization and become a go-to resource for the team in that domain.
- 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 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, with a developing specialization 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 and ability to translate 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 in Data Engineer, ML, or Platform; experience with Snowflake, AWS native services, or Azure Synapse; data/AI company or cloud-provider experience; and financial-services or other industry expertise are preferred.
Benefits
- Comprehensive employee benefits and perks are offered, with specific details varying by region.
- The role includes a stated local pay range of $180,000—$247,500 USD; the total package may also include an annual performance bonus and equity.
- The interview process includes recruiter screening, hiring manager screening, design and architecture interview, live coding assessment, build/demo/pitch presentation, and reference check.
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.