Lead Forward Deployed Engineer, Databricks

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🕒 Maio 16

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

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Aimpoint Digital

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

Artificial Intelligence • Analytics • Consulting

A Aimpoint Digital é uma empresa líder de mercado em consultoria e engenharia de soluções em análises, engenharia de dados, pesquisa operacional e Inteligência Artificial. Ela capacita organizações a desbloquear valor a partir de dados, fornecendo orientação estratégica, desenvolvendo soluções de IA de ponta e implementando aplicações analíticas avançadas. A Aimpoint Digital colabora com diversas empresas para aprimorar operações, promover decisões baseadas em dados e maximizar o retorno sobre o investimento por meio de estratégias de dados personalizadas e soluções de otimização.

Descrição

• Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks • Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase • Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria • Architect AI-native data platforms that support agentic workflows, semantic analytics, model deployment, retrieval systems, optimization models, and operational applications • Build Genie rooms, semantic layers using Metric Views, decision-support applications, data products, AI applications, and agent memory architectures that help clients operationalize insight and action • Partner with data engineering, AI engineering, analytics, business, security, and governance stakeholders to design secure, scalable, production-ready solutions • Create prototypes, demos, technical reference architectures, and reusable accelerators that showcase the value of Databricks for enterprise AI and analytics workloads • Help clients modernize data pipelines, improve platform architecture, implement governance patterns, and deploy AI systems into operational workflows • Work with Aimpoint Digital’s alliance, sales, and delivery teams to shape Databricks-led opportunities and translate client needs into winning solution approaches • Develop thought leadership, solution accelerators, demos, and internal enablement materials that strengthen Aimpoint Digital’s Databricks practice

🎯 Requisitos

• Strong experience in data engineering, AI engineering, platform engineering, solution architecture, or enterprise software development • Hands-on experience with Databricks, Spark, Delta Lake, Lakehouse architecture, data pipelines, model deployment, or modern data platform patterns • Strong Python and SQL skills. Experience with PySpark, MLflow, Databricks Workflows, Unity Catalog, Databricks SQL, or similar tooling is strongly preferred • Familiarity with enterprise AI patterns such as RAG, agents, model serving, vector search, semantic layers, data applications, evaluation frameworks, and governance • Ability to work directly with clients, understand ambiguous business needs, and translate them into technical architecture and implementation plans • Strong communication skills with the ability to engage executives, business leaders, architects, data engineers, ML engineers, and analytics teams • Comfort moving from strategy to architecture to hands-on development • A practical understanding of what it takes to move from demo to production in complex enterprise environments • Databricks certification or deep hands-on delivery experience in the Databricks ecosystem (Preferred Qualifications)

🏖️ Benefícios

• Health insurance • Professional development opportunities