Sr. Partner Solutions Architect - Customer Lake & Lakewatch

The role

You will accelerate platform adoption and scale growth across the strategic partner ecosystem. You will train partner technical teams, co-architect complex solutions, and advise partner leadership on technology roadmaps.

What you will do

• Train and enable partner technical teams to build practices around Customer Lake and Lakewatch
• Co-architect complex partner solutions to accelerate customer adoption and platform usage
• Guide partner engineering teams on deploying Lakewatch for data quality monitoring
• Advise partner CTOs, Chief Architects, and Practice Leads on technology roadmaps
• Develop enablement kits, reference architectures, and deployment blueprints
• Collaborate with internal Field Engineering, Product, and Partner Management teams

Required qualifications

• 8+ years in solutions architecture, partner technical management, principal engineering, or senior customer-/partner-facing technical pre-sales roles
• Proven track record working with system integrators (SIs/GSIs), cloud providers (AWS, Azure, GCP), or strategic technology partners (ISVs)
• Expert-level coding proficiency in Python and SQL
• Deep expertise in enterprise data architecture: distributed systems, real-time/streaming, Customer Lake design patterns, data governance frameworks, and cloud-native platforms
• Deep knowledge of data observability, automated data quality, and platform telemetry using Lakewatch or equivalent monitoring tools
• Expert-level Databricks Platform knowledge or equivalent depth in competing platforms
• Declared technical specialization with recognized depth
• Proven track record of 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
• Strong strategic thinking
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to have

• Databricks certifications
• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
• Published thought leadership (blogs, conference talks, open source contributions)
• Industry vertical expertise with executive-level domain credibility

Before you apply

• You will complete a live coding assessment and a platform build during the interview
• Recruiter Screen, Hiring Manager Screen, Design and Architecture Interview, Live Coding Assessment, Presentation, and Reference Check

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.