Senior Partner Solutions Architect (Customer Lake & Lakewatch)

Location: United States

Salary: $219,100–$301,300 USD annually; additional bonus, equity, and benefits may apply.

Company

Databricks is a Data and AI company providing a unified platform for data, analytics, and AI applications to organizations worldwide.

What you will do

• Train and enable SI, GSI, ISV, and cloud-provider technical teams to build repeatable practices around Customer Lake and Lakewatch.
• Co-architect complex partner solutions that increase customer adoption, deployment velocity, and platform consumption.
• Guide partner engineering teams in deploying Lakewatch for automated data-quality monitoring and system-health telemetry.
• Advise partner CTOs, chief architects, and practice leads on technology roadmaps and Customer Lake and Lakewatch innovations.
• Develop enablement kits, reference architectures, and deployment blueprints for partner integration and rollout.
• Coordinate Field Engineering, Product, and Partner Management teams on partner go-to-market initiatives.

Requirements

• 8+ years of experience in solutions architecture, partner technical management, principal engineering, or senior customer- or partner-facing technical pre-sales roles.
• Experience working with system integrators, cloud providers such as AWS, Azure, or GCP, or strategic technology partners and ISVs.
• Expert-level coding proficiency in Python and SQL; Spark or PySpark is ideally required. A live coding assessment and platform build are part of the interview.
• Deep expertise in enterprise data architecture, including distributed systems, real-time and streaming architectures, Customer Lake design patterns, data governance, 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 with demonstrated ability to learn quickly.
• Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
• Track record of driving consumption growth and platform adoption in large accounts, leading competitive displacements, and managing complex enterprise evaluations.
• Executive presence and ability to influence VPs, practice directors, and C-level stakeholders on long-term data and AI strategy; strong strategic thinking connecting architecture decisions to business outcomes and revenue impact.
• 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, including blogs, conference talks, or open-source contributions.
• Industry expertise with executive-level domain credibility.

Culture & Benefits

• Comprehensive benefits and perks are offered, with details varying by region.
• Annual performance bonus and equity may be included in the total compensation package.
• Commitment to diversity, inclusion, and equal employment opportunity.

Hiring process

• Recruiter screen, hiring manager screen, and design and architecture interview.
• Live coding assessment followed by a Build, Demo, Pitch! presentation.
• Reference check.