Sr. Solutions Engineer - Games

Databricks Inc.; United States; Remote; USD 152,000 - 209,000; Full time

Benefits offered by this job

Remote work options

Competitive base pay + bonus + equity

Comprehensive benefits

Structured interview process

Job summary

Databricks Inc. senior pre-sales engineer collaborates with sales to lead end-to-end technical engagements for data engineering, analytics, and ML workloads on a unified data and AI platform.

The role blends coding, solution design, and storytelling as you own frontline technical relationships while expanding platform adoption across named accounts. Responsibilities include discovery, proofs-of-concept, live demonstrations, and architecture reviews; you’ll contribute to reusable assets and work

Qualifications

• 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
• Proficiency in Python and SQL with production-quality code.
• Experience designing and implementing data solutions on major public clouds.
• Knowledge of distributed data systems (Spark, Delta Lake, Hadoop, Kafka, Flink).
• Strong experience in discovery, whiteboarding, and architecture reviews.
• Familiarity with ETL/ELT, data science, MLOps, or SQL analytics.
• Excellent presentation and live-demo skills; able to present a solution during interviews.
• Bachelor's or Master's in CS/Engineering or equivalent experience.

Responsibilities

• Independently drive technical discovery and solution design across data engineering, analytics, and ML workloads.
• Build and deliver proofs-of-concept and live platform demonstrations for technical wins.
• Own frontline technical relationships with customer engineers and technical leads.
• Partner with an Account Executive to develop account-level technical strategies.
• Navigate competitive evaluations by illustrating platform differentiation through demos.
• Create reusable technical assets for the broader solutions architect community.

Skills

Python

SQL

Live coding

Presentation skills

Customer storytelling

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

AWS

Azure

GCP

Apache Spark

Delta Lake

Hadoop

Kafka

Flink

Job description

Role overview

This senior pre-sales engineering role partners with a sales counterpart to lead technical engagements end-to-end — from discovery through live demonstration — for customers building data engineering, analytics, and machine learning workloads on a unified data and AI platform. The position blends hands‑on coding, solution architecture, and customer‑facing storytelling, owning frontline technical relationships while helping expand platform adoption across named accounts.

Responsibilities

• Independently drive technical discovery and solution design across data engineering, analytics, and machine learning workloads
• Build and deliver compelling proofs-of-concept and live platform demonstrations that support technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Partner with an Account Executive to develop account-level technical strategies that grow platform consumption
• Navigate competitive evaluations by articulating platform differentiation through hands‑on demonstrations
• Contribute reusable technical assets such as notebooks, solution accelerators, and reference architectures to the broader solutions architect community

Requirements

• 4+ years of experience in data engineering, solutions architecture, technical pre-sales, or hands‑on consulting roles
• Proficiency in Python and SQL with the ability to debug, optimize, and write production‑quality code; a live coding assessment is part of the interview process
• Hands‑on experience designing and implementing data solutions on at least one major public cloud (AWS, Azure, or GCP)
• Working knowledge of distributed data systems such as Apache Spark, Delta Lake, or comparable technologies like Hadoop, Kafka, and Flink
• Demonstrated success leading technical customer conversations including discovery, whiteboarding, and architecture reviews
• Familiarity with data engineering (ETL/ELT, medallion architecture, streaming), data science and MLOps, or SQL analytics
• Strong presentation and demo skills; candidates build and present a live solution during the interview loop
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent practical experience)

Nice to have

• Certification or prior experience with the platform itself
• Familiarity with newer platform capabilities including a unified governance catalog, declarative data pipelines, and an open-source ML lifecycle tool
• Background at a data and AI vendor, cloud provider, or technical consulting firm

Benefits and work setup

• Remote work considered across multiple listed locations
• Base pay range of $152,300–$209,450 USD depending on zone, with eligibility for annual performance bonus and equity
• Comprehensive benefits package, with specifics varying by region
• Structured interview process: recruiter screen, hiring manager screen, design and architecture interview, live coding assessment, build/demo/pitch presentation, and reference check