Solutions Architect

🕒 Julho 29

🇦🇷 Argentina – Remoto

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

👻 Score fantasma 21%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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SunnyData

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 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. • Architect data solutions, incorporating best practices in data governance, security, and quality. • Evaluate data sources for their value and recommend data inclusion strategies. • Lead internal teams, provide direction and mentorship to project teams. • Perform system analysis, assess and resolve data and system defects. • Test data movement, transformation code, and data components for accuracy and reliability.

🎯 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). • Proficiency in Java, Python, and/or Scala. • Familiarity with cloud platforms: AWS, Azure, 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 and solution documentation. • Experience leading teams and mentoring other engineers. • Ability to develop end-to-end technical solutions into production.

🏖️ 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.

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