Databricks Solutions Architect

🕒 Outubro 31, 2025

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Wavicle Data Solutions

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2013

☁️ SaaS

🏢 Corporativo

🤖 Inteligência Artificial

SaaS • Enterprise • Artificial Intelligence

A Wavicle Data Solutions é uma consultoria especializada em gerenciamento de dados, análises avançadas, inteligência de negócios e soluções impulsionadas por IA. Eles oferecem uma gama de serviços, incluindo modernização de infraestrutura em nuvem, estratégia e avaliação de dados, gestão de plataformas e conformidade com a privacidade de dados. A Wavicle faz parcerias com importantes provedores de tecnologia de nuvem e dados, como AWS, Azure, Databricks e Snowflake, para fornecer soluções personalizadas e escaláveis que melhoram a eficiência operacional e a inteligência de negócios. Atendendo a indústrias como finanças, saúde, seguros e varejo, a Wavicle visa capacitar organizações com insights acionáveis e fluxos de trabalho otimizados através de tecnologia de ponta e expertise.

Descrição

• Solution Design: Develop data architecture solutions and reference architectures for customers using Databricks. • Customer Engagement: Work closely with clients to understand their business goals and technical needs, ensuring optimal use of the Databricks platform. • Pre-Sales Support: Provide technical expertise during the pre-sales process, conducting workshops and proof-of-concept (POC) projects. • Technical Leadership: Lead complex projects involving Databricks integration with cloud environments such as AWS, Azure, or GCP. • Performance Optimization: Help customers optimize performance for large-scale data processing, streaming, and machine learning workflows on Databricks. • Training and Mentorship: Guide customers and internal teams on best practices in data engineering, machine learning, and AI using Databricks. • Collaboration: Work cross-functionally with engineering, product, and sales teams to deliver successful implementations. • Market Strategy: Help the company identify market needs, define a Go To Market strategy, and execute on that strategy

🎯 Requisitos

• 10+ years of experience in data engineering, data architecture, or related fields. Hands-on experience with Databricks is a must. • Proficiency in cloud platforms (AWS, Azure, GCP), with strong knowledge of cloud-native technologies and services. • Expertise in Python, Scala, and SQL for large-scale data processing. • Experience in designing and implementing data pipelines, ETL processes, Dev/Ops, Security/Ops and data lakes. • Familiarity with ML workflows and libraries such as TensorFlow, PyTorch, and scikit-learn. • Strong experience with big data tools like Apache Spark, Hadoop, and Delta Lake. • Excellent communication and interpersonal skills to effectively engage with both technical and non-technical stakeholders. • Databricks certifications or cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, etc.). • Knowledge of data governance, security practices, and compliance in the cloud environment. • Problem-solving mindset • Strong customer-facing skills • Ability to engage with C-level, especially CTO and CDO • Strategic thinking with a focus on scalable and efficient architectures • Ability to create content for Databricks market and sales support • Ability to work independently and in team settings

🏖️ Benefícios

• Competitive compensation and bonuses • Unlimited paid time off • Health, retirement, and life insurance plans • Long-term incentive programs • Meaningful work that blends innovation and purpose