Senior Solutions Engineer – Digital Native Business

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Take the initiative to lead technical discovery and solution design for customer workloads that encompass data engineering, analytics, and machine learning.

• Create and present proofs-of-concept as well as live demonstrations on the Databricks Platform.

• Manage primary technical relationships with customer engineers, data teams, and technical leads.

• Collaborate with the Account Executive to develop account-level technical strategies aimed at increasing platform consumption.

• Clearly communicate Databricks' unique advantages through practical demonstrations in competitive scenarios.

• Contribute to the development of reusable technical assets, such as notebooks, solution accelerators, and reference architectures.

• Independently lead technical engagements with customers, overseeing discovery, solution design, and platform demonstrations.

⛳️ Requirements

• Minimum of 4 years of experience in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role.

• Proficient in Python and SQL, with the ability to debug, optimize, and write production-quality code.

• Live coding is a mandatory part of the interview process.

• Practical experience in designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP).

• Familiarity with distributed data systems such as Apache Spark™, Delta Lake, or equivalent technologies (Hadoop, Kafka, Flink).

• Background in leading technical discussions with customers, including discovery sessions, whiteboarding, and architecture reviews.

• Knowledge of data engineering, data science/ML, or SQL analytics.

• Excellent presentation and demonstration skills.

• Holds a Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field, or possesses equivalent experience.

• Databricks certification or experience with the Databricks Platform is advantageous.

• Familiarity with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow is a plus.

• Experience working at a data/AI company, cloud provider, or technical consulting firm is beneficial.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity opportunities.

• Comprehensive benefits and perks (specific regional details provided via employer benefits documentation).