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Solutions Architect - Consumer Packaged Goods (CPG)

Databricks Mosaic · Connecticut; Delaware; Florida; Maryland; New Jersey; Northeast - United States; Remote - Georgia; Remote - New York; Remote - North Carolina; Remote - Pennsylvania; Remote - Virginia; Remote - Washington D.C.; South Carolina; Southeast - United States · Remote - Texas

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

At a glance

Highlights

  • Own end-to-end technical strategy from discovery through production deployment.
  • Design scalable solutions spanning data engineering, ML/AI, and real-time analytics.
  • Serve as trusted advisor driving Databricks adoption as data and AI foundation.

What they offer

  • annual performance bonus
  • equity
  • comprehensive benefits

Ideal candidate

A strategic, customer-obsessed technologist who thrives advising senior stakeholders, whiteboarding complex architectures, and growing platform 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
  • Proven ability to lead architecture discussions with senior technical stakeholders
  • Experience with production deployments on AWS, Azure, or GCP including security and governance
  • Track record of driving platform adoption and consumption growth
  • Bachelor's or Master's in Computer Science, Engineering or quantitative discipline or equivalent
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 ↗

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