Sr. Solutions Engineer - Games
Databricks · California · Field Engineering - FE Direct Emerging · listed September 21, 2026
The shape of it
Seniority
Senior
Where
Not stated
Stated pay
$152,300 – $209,450 USD
Requirements listed
8
Length
885 words
In the posting’s own words
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check #CMEG
What it asks for · 8
- 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)
Also a plus
- Databricks certification or experience with the Databricks Platform
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
- Background at a data/AI company, cloud provider, or technical consulting firm
What the job covers
- 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
Degree language
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Tools and skills named
Data
- Databricks4×
- Spark3×
- ETL2×
- Hadoop
Cloud & infra
- AWS
- Azure
- GCP
- Kafka
Languages
- SQL2×
- Python
Models & research
- Machine learning2×
Go to market
- Solutions architecture
Words the posting leans on
- technical9×
- data7×
- architecture5×
- experience5×
- solution5×
- interview4×
- live4×
- platform4×
- build3×
- customer3×
- data engineering3×
- demo3×
- hands-on3×
- analytics2×
- cloud2×
- consulting2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.