Senior Solutions Engineer – Digital Native Business
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Job Description
Senior Solutions Engineer leading data, analytics, and ML solution design for Databricks customers. Building technical demos and strategies to expand platform consumption among digital-native accounts.
Responsibilities:
- Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
- Build and deliver proofs-of-concept and live demos on the Databricks Platform
- Own frontline technical relationships with customer engineers, data teams, and technical leads
- Develop account-level technical strategies with the Account Executive to grow platform consumption
- Articulate Databricks differentiation through hands-on demonstrations in competitive situations
- Contribute reusable technical assets, including notebooks, solution accelerators, and reference architectures
- Independently lead customer technical engagements, owning discovery, solution design, and platform demonstrations
Requirements:
- 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
- Proficient in Python and SQL; ability to debug, optimize, and write production-quality code
- Live coding is a required interview stage
- Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
- Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
- Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews
- Familiarity with data engineering, data science/ML, or SQL analytics
- Strong presentation and demo skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience
- Databricks certification or Databricks Platform experience is nice to have
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow is nice to have
- Background at a data/AI company, cloud provider, or technical consulting firm is nice to have
Benefits:
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks (specific regional details provided via employer benefits documentation)
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