# Sr. Partner Solutions Architect - Customer Lake & Lakewatch

**Company**: Databricks
**Location**: United States
**Experience**: senior
**Job type**: full-time
**Salary**: $219,100-$301,300 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8807797002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_293143bc-8bc

## Description

As a Sr. Partner Solutions Architect specializing in Customer Lake and Lakewatch, you are an expert-level technical leader responsible for accelerating platform adoption and scaling growth across strategic partner ecosystems.

The Impact You Will Have

- Scale Partner Practice Growth: Train and enable partner technical teams to build repeatable, high-value practices around Customer Lake and Lakewatch

- Drive Partner-Led Platform Consumption: Co-architect complex partner solutions that accelerate customer adoption, deployment velocity, and platform usage

- Expand Lakewatch Observability: Guide partner engineering teams on deploying Lakewatch for automated data quality monitoring and health telemetry

- Advise Partner Leadership: Act as a trusted technical advisor to partner CTOs, Chief Architects, and Practice Leads

- Build Reusable Blueprints: Develop enablement kits, reference architectures, and deployment blueprints

- Orchestrate Cross-Functional Teams: Collaborate across internal Field Engineering, Product, and Partner Management teams

What We Look For

- 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, cloud providers, or strategic technology partners

- Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark

- 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

- Declared technical specialization with recognized depth

- Proven track record of driving consumption growth and platform adoption in large accounts

- Executive presence and ability to influence VPs, Practice Directors, and C-level stakeholders

- Experience leading competitive displacements and complex enterprise evaluations

- Strong strategic thinking and ability to connect technical architecture decisions to business outcomes and revenue impact

- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

## Skills

### Required
- Python
- SQL
- Spark/PySpark
- enterprise data architecture
- data observability
- Databricks Platform

### Nice to have
- Databricks certifications
- prior experience at Databricks, Snowflake, AWS, Google, Microsoft
- published thought leadership

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8807797002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)