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Databricks

Sr. Solutions Engineer - Games

RemoteUnited States only
Published
Role
Sales
Experience
Senior
Employment
Full-time
Company size
Enterprise
$152.3k–$209.5k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior pre-sales Solutions Engineer for games who codes in Python/SQL and designs data engineering/ML solutions on cloud (AWS/Azure/GCP). Must have 4+ years in data engineering/solutions architecture or hands-on pre-sales and strong demo/live-coding skills. Role targets Northeast US but candidates in other locations will be considered.

Core skills

PythonSQLApache Spark

Required skills

Delta LakeETL/ELTstreaming data systemsMLOpscloud (AWS)cloud (Azure)cloud (GCP)

Optional skills

Databricks certificationUnity CatalogLakeflow Spark Declarative PipelinesMLflow

What you'll do

  • 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 in partnership with Account Executives 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

What they require

  • 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)

Benefits

  • Eligibility for annual performance bonus
  • Equity (eligibility)
  • Comprehensive region-specific benefits (see company page)

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.

🇺🇸 United StatesData AIEnterprisedatabricks.com/

What people say about this company

3.0/ 5

$152.3k–$209.5k/yr