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Sr. Partner Solutions Architect - Customer Lake & Lakewatch

Databricks Mosaic · United States · Remote - California

Infrastructureremotesenior$219k–$301k
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At a glance

Highlights

  • Scale partner practices to drive Customer Lake adoption across SIs and ISVs.
  • Build reusable blueprints to accelerate enterprise Customer Lake rollouts.
  • Guide partners deploying Lakewatch for automated data quality and health telemetry.

What they offer

  • Annual performance bonus
  • Equity
  • Comprehensive benefits and perks

Ideal candidate

Expert-level technical leader who thrives enabling partners and influencing executives, passionate about scaling data platforms through repeatable practices and business-aligned architecture.

Requirements

  • 8+ years in solutions architecture, partner technical management, principal engineering, or senior pre-sales roles
  • Proven track record working with system integrators, cloud providers, or strategic technology partners
  • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark
  • Deep expertise in enterprise data architecture, distributed systems, real-time/streaming and governance
  • Deep knowledge of data observability, automated data quality, and platform telemetry
  • Expert-level Databricks Platform knowledge or equivalent depth with rapid learning ability
  • Proven track record driving consumption growth and platform adoption in large accounts
  • Executive presence to influence VPs, Practice Directors, and C-level stakeholders
  • Experience leading competitive displacements and complex enterprise evaluations
  • 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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