Senior Partner Solutions Architect – Customer Lake, Lakewatch

🔥 12 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $219.1k - $301.3k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Serve as an expert-level technical leader accelerating platform adoption and scaling growth across strategic partner ecosystems, including SIs, GSIs, ISVs, and cloud providers • Train and enable partner technical teams to build repeatable, high-value practices around Customer Lake and Lakewatch • Co-architect complex partner solutions that accelerate customer adoption, deployment velocity, and platform usage across Customer Lake environments • Guide partner engineering teams in deploying Lakewatch for automated data quality monitoring and health telemetry • Advise partner CTOs, Chief Architects, and Practice Leads, aligning technology roadmaps with Customer Lake and Lakewatch innovations • Develop enablement kits, reference architectures, and deployment blueprints for partner integration and rollout • Collaborate with Field Engineering, Product, and Partner Management teams on unified partner go-to-market initiatives • Complete the interview process, including design and architecture interview, live coding assessment, build/demo/pitch presentation, and reference check

🎯 Requirements

• 8+ years in solutions architecture, partner technical management, principal engineering, or senior customer-/partner-facing technical pre-sales roles • Proven experience working with system integrators, cloud providers (AWS, Azure, GCP), or strategic technology partners (ISVs) • Expert-level coding proficiency in Python and SQL; ideally Spark/PySpark • Must complete a live coding assessment and platform build during the interview • Deep expertise in enterprise data architecture, including 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 with demonstrated rapid learning ability • Declared technical specialization with recognized depth, such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions • Proven track record driving consumption growth and platform adoption in large accounts • Ability to influence VPs, Practice Directors, and C-level stakeholders on long-term data and AI strategy • Experience leading competitive displacements and complex enterprise evaluations • Strong strategic thinking connecting technical 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 • Databricks certifications are nice to have • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company is nice to have • Published thought leadership is nice to have • Industry vertical expertise with executive-level domain credibility is nice to have • If access to export-controlled technology or source code is required, employment may depend on U.S. government licensing discretion

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (specific regional details provided via Databricks benefits documentation)

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