Solutions Architect - Retail
Databricks7 hours 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, streaming, lakehouse patterns, and real-time analytics.
- Serve as a trusted technical advisor to customer architects, engineering leads, Directors, and other senior stakeholders.
- 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 cross-functional resources, including DSAs, SSAs, and partners, to deliver comprehensive customer solutions.
- Influence product direction through structured feedback on customer requirements and competitive gaps.
- Demonstrate live coding, debugging, and solution-building skills during the interview process.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong coding proficiency in Python and SQL.
- Deep expertise in distributed data systems architecture, including 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 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
- Benefits and perks are offered, with region-specific details available from Databricks.
- The role includes a local pay range of $180,000–$247,500 USD; total compensation may also include an annual performance bonus, equity, and benefits.
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.