Senior Solutions Architect, Customer Lake

🕒 Novembro 3

🏄 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

• Provide technical leadership for strategic customer implementations involving customer data and marketing projects • Guide architectural design, data engineering, identity resolution, audience activation, and agent deployment • Collaborate with GTM leadership and account teams on engagement strategies across the territory • Drive Customer Lake adoption from Customer 360 build-out through CDP augmentation or replacement • Advise CMOs, MarTech leaders, data engineering leaders, and marketing and analytics teams • Deliver workshops, proofs of concept, and customer-facing collateral • Influence the product roadmap through field-derived, data-driven recommendations • Serve as the tier-3 escalation point for complex technical challenges • Establish and refine sales qualification and POC intake processes • Build relationships with internal and external business partners • Drive thought leadership through mentoring and knowledge sharing

🎯 Requisitos

• 5+ years in a customer-facing, pre-sales, or consulting role influencing technical executives and driving customer data and marketing strategy and product adoption • Minimum 2+ years of experience implementing modern data estate, CDP, and Lakehouse architectures focused on data and AI applications • Experience designing and implementing data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization, next-best-action, and agentic AI workflows • Ability to facilitate and influence executive stakeholders while aligning technology strategy to business value and ROI • Proficiency in AI-assisted programming, debugging, and problem-solving using SQL and Python • Experience collaborating with Global System Integrators and third-party consulting organizations • Hands-on experience building solutions in AWS, Azure, or GCP • Understanding of cloud-native data ingestion, activation, and governance • Deep experience in customer data and marketing analytics • Broad familiarity with data engineering, data warehousing, AI/ML for personalization, data governance, or streaming • Undergraduate degree or higher in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering, or similar • If access to export-controlled technology or source code is required, employment may depend on the employer obtaining a U.S. government license

🏖️ Benefícios

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks; specific benefits vary by region

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