Senior Partner Solutions Architect – Customer Lake, Lakewatch

This is a fully remote position, open to applicants in California.

📋 Description

• Act as a technical leader at an expert level, driving platform adoption and enhancing growth within strategic partner ecosystems, including system integrators, global system integrators, independent software vendors, and cloud service providers.

• Educate and empower partner technical teams to establish consistent, high-value practices centered around Customer Lake and Lakewatch.

• Collaborate in the co-architecture of intricate partner solutions that foster customer adoption, expedite deployment velocity, and elevate platform utilization within Customer Lake environments.

• Support partner engineering teams in the implementation of Lakewatch for automated data quality oversight and health telemetry.

• Provide guidance to partner CTOs, Chief Architects, and Practice Leads, ensuring alignment of technology roadmaps with innovations in Customer Lake and Lakewatch.

• Create enablement kits, reference architectures, and deployment blueprints for partner integration and implementation.

• Work alongside Field Engineering, Product, and Partner Management teams on cohesive partner go-to-market strategies.

• Complete the interview process, which includes a design and architecture interview, live coding assessment, build/demo/pitch presentation, and reference checks.

⛳️ Requirements

• Over 8 years of experience in solutions architecture, partner technical management, principal engineering, or senior technical pre-sales roles involving customers or partners.

• Proven track record in collaboration with system integrators, cloud providers (AWS, Azure, GCP), or strategic technology partners (ISVs).

• High-level coding skills in Python and SQL, with experience in Spark/PySpark being ideal.

• Must successfully complete a live coding assessment and platform build during the interview process.

• Extensive knowledge of enterprise data architecture, including distributed systems, real-time/streaming, Customer Lake design patterns, data governance frameworks, and cloud-native platforms.

• In-depth understanding of data observability, automated data quality, and platform telemetry utilizing Lakewatch or comparable monitoring solutions.

• Expert-level knowledge of the Databricks Platform or equivalent proficiency in competing platforms, demonstrating a rapid capacity for learning.

• Established technical specialization with recognized depth in areas such as real-time architectures, machine learning/artificial intelligence platforms, data governance, large-scale migrations, or industry-specific solutions.

• Proven success in driving consumption growth and platform adoption in large accounts.

• Ability to influence VPs, Practice Directors, and C-level stakeholders regarding long-term data and AI strategies.

• Experience in leading competitive displacements and complex enterprise evaluations.

• Strong strategic thinking skills, connecting technical architecture decisions to business outcomes and revenue impact.

• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field, or equivalent experience.

• Databricks certifications are a plus.

• Previous experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company is a plus.

• Published thought leadership is a plus.

• Industry-specific expertise with executive-level domain credibility is a plus.

• If access to export-controlled technology or source code is necessary, employment may be subject to U.S. government licensing discretion.

🏝️ Benefits

• Eligibility for annual performance bonuses.

• Eligibility for equity options.

• Comprehensive benefits and perks (specific details provided through Databricks benefits documentation based on the region).