Senior Partner Solutions Architect – Customer Lake, Lakewatch

🕒 6 dias atrás

🏄 California – Remoto

🏄 California – Remote

💵 $219.100 - $301.300 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Databricks

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• Train and enable partner technical teams across SIs, GSIs, and ISVs to build repeatable practices around Customer Lake and Lakewatch • Co-architect complex partner solutions to 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 to simplify partner integration and rollout • Collaborate across internal Field Engineering, Product, and Partner Management teams on unified partner go-to-market initiatives • Serve as the technical authority and trusted advisor for partner technical practices • Accelerate platform adoption and scale growth across Databricks' strategic partner ecosystem

🎯 Requisitos

• 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 (SIs/GSIs), cloud providers (AWS, Azure, GCP), or strategic technology partners (ISVs) • Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark; live coding assessment and platform build required during 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 of 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, prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, published thought leadership, and industry vertical expertise are nice to have • If access to export-controlled technology or source code is required, employment may depend on U.S. government licensing discretion

🏖️ Benefícios

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks tailored to employees' regional needs

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