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← Databricks Mosaic

Solutions Architect - Communications, Media, Entertainment and Games

Databricks Mosaic · Remote - New York · San Francisco, California

CHECKED 14H AGO

Infrastructureremotesenior$180k–$248k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own end-to-end technical strategy from discovery to production deployment and growth.
  • Design scalable production-grade solutions for data, ML/AI and real-time analytics.
  • Serve as trusted advisor shaping customers' data and AI strategy.

What they offer

  • Annual performance bonus
  • Equity
  • Comprehensive benefits

Ideal candidate

A strategic, customer-obsessed technologist who loves owning complex architectures end-to-end and translating them into business value to drive data and AI adoption.

Requirements

  • 6+ years in solutions architecture, data engineering, technical pre-sales or senior hands-on technical role
  • Strong coding proficiency in Python and SQL including live coding and debugging
  • Deep expertise in distributed data systems, scalable pipelines, streaming and lakehouse patterns
  • Proficient on Databricks Platform with developing specialization
  • Proven ability to lead architecture discussions with senior stakeholders including whiteboarding and design reviews
  • Experience with production deployments on AWS, Azure or GCP including security and governance
  • Track record of driving platform adoption and consumption growth
  • Excellent communication skills translating architecture into business value
  • Bachelor's or Master's in Computer Science, Engineering or quantitative field or equivalent experience
hiring process
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗