Senior Data Solutions Architect - Demos, Cloud, AI

Cacheflow

Los Angeles (CA)

On-site

USD 152,000 - 209,000

Full time

12 days ago

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Job summary

Databricks is seeking a Sr. Solutions Engineer to independently lead technical engagements, owning discovery, solution design, and platform demonstrations.

You will be a builder who can code, architect, and present, translating complex data challenges into practical, scalable solutions for customers. You will maintain frontline relationships with customer engineers and work with Account Executives to expand platform usage, crafting technical strategies that drive adoption and competitive

Qualifications

  • 4+ years in data engineering, solutions architecture, or pre‑sales.
  • Proficient in Python and SQL with production‑quality code.
  • Experience with at least one public cloud (AWS/Azure/GCP).
  • Experience leading technical customer conversations—discovery, whiteboarding, architecture reviews.
  • Strong presentation and demo skills.

Responsibilities

  • Lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and ML.
  • 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 your Account Executive to grow platform consumption.
  • Navigate competitive landscapes by articulating Databricks differentiation through hands‑on demonstrations.
  • Contribute reusable technical assets to the broader SA community.

Skills

Python
SQL
Data engineering
Cloud platforms
Live coding
Presentation

Education

Bachelor's or Master's in CS/Engineering/Quantitative field

Tools

Apache Spark
Delta Lake
Hadoop
Kafka

Job description

Databricks is seeking a Sr. Solutions Engineer to independently lead technical engagements, owning discovery, solution design, and platform demonstrations.

You will be a builder who can code, architect, and present, translating complex data challenges into practical, scalable solutions for customers. You will maintain frontline relationships with customer engineers and work with Account Executives to expand platform usage, crafting technical strategies that drive adoption and competitive

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