About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Responsibilities
- Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning.
- Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins.
- Own frontline technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption.
- Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations.
- Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community.
Requirements
- 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role.
- Proficient in Python and SQL with demonstrated 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 — discovery, whiteboarding, architecture reviews.
- Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics.
- Strong presentation and demo skills — you will build and present a live solution during the interview.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
Conditions
- Interview process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check.