Solutions Architect

🕒 Fevereiro 26

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SunnyData

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

SunnyData é uma empresa de consultoria em engenharia de dados e IA focada em Databricks que auxilia organizações a modernizar suas plataformas de dados, migrar EDWs e data lakes legados para o Databricks e operacionalizar iniciativas de IA/ML e GenAI. A empresa fornece engenheiros certificados pela Databricks, aceleradores de migração, governança de dados, MLOps e expertise de domínio para indústrias como saúde e serviços financeiros.

Descrição

• Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs. • Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. • Collaborate with sales teams to present technical solutions to prospective clients. • Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress. • Architect data solutions, incorporating best practices in data governance, security, and quality. • Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Lead internal teams, provide direction and mentorship to project teams to deliver solutions.

🎯 Requisitos

• 7+ years as a hands-on Solutions Architect and/or Sr. Data Engineer designing and implementing data solutions with a focus on DataBricks. • Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, and data science/machine learning technologies (e.g., pandas, scikit-learn). • In-depth understanding of the end to end data analytics workflow (e.g., data modeling, ETL processes, and data integration); • Ability to lead complex architecture requirements, solution design sessions, and build out implementation architecture blueprints. • Proficiency in Java, Python, and/or Scala. • Experience with cloud platforms: AWS, Azure, and/or GCP. • Ability to write, debug, and optimize SQL queries. • Strong written and verbal communication skills with experience in client-facing roles. • Ability to create and deliver detailed presentations to clients and stakeholders. • Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views. • Experience leading teams and mentoring other engineers. • Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration.

🏖️ Benefícios

• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI. • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making. • Career Growth: Opportunities for professional development and career advancement. • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.