Monster Jobs lê cada vaga aberta e diz, de 0 a 100, o match dela com o seu currículo — de graça. Você está vendo esta página sem a parte mais importante dela: a sua.

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DOSSIÊ MJ-4981 · ACESSO PARCIAL

Delivery Solutions Architect - Digital Native Business

Databricks · United States

Não informadoNão informadoGerente

Esta é 1 de 64.420 vagas encontradas nos últimos 30 dias. Nós comparamos todas com o seu currículo — hoje, esta página nem sabe quem você é.

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Encontrada há 12 horas

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A conta que ninguém faz

Você, sozinho, numa noite

~20

vagas abertas e lidas uma a uma — a maioria descartada no terceiro parágrafo, quando o requisito que você não tem finalmente aparece. Dias assim, toda semana.

O Monster Jobs, enquanto isso

64.420

vagas já lidas e entendidas, prontas para ganhar nota contra o seu currículo no momento em que ele chegar. Você não procura mais vaga — recebe as que merecem a sua atenção.

Recrutador faz triagem de candidato.
Aqui, o recrutador é você — de vagas.

Cada uma chega com nota e motivo. Seu único trabalho é dizer sim ou não.

RELATÓRIO DE COMPATIBILIDADE · GERADO POR VAGA, POR PESSOA

Por que essa nota

Para quem tem conta, este bloco explica a nota em português — escrito sobre o seu histórico, não um texto genérico:

O raciocínio da nota é gerado para cada currículo depois do cadastro gratuito.

Aderência técnicapeso 0.45
Senioridadepeso 0.25
Localização e modelo de trabalhopeso 0.2
Setor e contextopeso 0.1

A seu favor

O que do seu histórico pesa a favor aqui.

O que falta

O que a vaga pede e seu currículo ainda não mostra.

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1 minuto: você envia o currículo, nós escrevemos o resto.

Ninguém caça sozinho. Esta vaga foi encontrada por outra pessoa e entrou no acervo de todo mundo. A caça continua enquanto você lê isto — e a sua parte do acervo (64.420 vagas, comparadas com o seu currículo) só passa a existir quando você entra.

O que você decide sobre cada vaga

Cada vaga vira um caso com histórico: candidatei, entrevista, proposta. Estes botões são os reais — só falta a conta.

Descrição da vaga

<p>At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value.</p> <p>This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption.</p> <p><strong>The Impact You Will Have</strong></p> <ul> <li>Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts</li> <li>Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions</li> <li>Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs</li> <li>Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes</li> <li>Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence</li> <li>Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes</li> <li>Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery</li> <li>Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization</li> </ul> <p><strong>What We Look For</strong></p> <ul> <li>5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role</li> <li>Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams</li> <li>Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions</li> <li>Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures</li> <li>Experience designing secure, governed, scalable, and production-ready data solutions</li> <li>Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation</li> <li>Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders</li> <li>Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization</li> <li>Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership</li> <li>Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority</li> <li>Bachelor's degree in Computer Science, Engineering, or equivalent experience</li> </ul> <p><strong>Nice to Have</strong></p> <ul> <li>Databricks experience or certification</li> <li>Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations</li> <li>Experience with AWS, Azure, or GCP and production cloud deployments</li> <li>Experience creating reusable technical frameworks, demos, or enablement that scale across teams</li> </ul> <p><strong>Interview Process:</strong> Recruiter Screen → Hiring Manager Screen → Design &amp; Architecture → Live Coding → Build, Demo &amp; Pitch → Reference Check</p> <p><strong>Travel</strong>: Up to 30% as needed</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> <p>&nbsp;</p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$180,000</span><span class="divider">&mdash;</span><span>$247,500 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p> <p><strong>Compliance</strong></p> <p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>
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