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