Data Engineer Manager

🕒 6 dias atrás

🇨🇴 Colômbia – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 19%

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Blend360

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🏥 Saúde

🏨 Hospitalidade

✈️ Turismo

💰 $100.000.000 Private Equity Round em 2022-08

Healthcare • Hospitality • Travel

A Blend360 é uma empresa de serviços profissionais especializada em soluções de IA, análise de dados e soluções orientadas por dados. Eles trabalham com empresas da Fortune 1000 e grandes marcas empresariais para enfrentar desafios significativos, integrando pessoas e inteligência artificial. A Blend360 foca em vários domínios, incluindo inteligência de negócios, engenharia de dados, ciência de dados, MLOps e governança de dados. Suas indústrias de expertise englobam serviços financeiros, energia, saúde e ciências da vida, varejo, tecnologia, mídia & telecomunicações e viagens & hospitalidade. A Blend360 é reconhecida por suas soluções de IA e dados, tendo recebido prêmios como "Solução do Ano em Capacitação de IA" e sendo listada entre os "Principais Provedores de Serviços de IA Generativa de 2024.

Descrição

• Lead, mentor, and develop a team of Data Engineers focused on data and ML infrastructure • Define and implement technical approaches for scalable cloud-based MLOps • Establish the engineering foundation required to support machine learning models throughout their lifecycle • Oversee the development of data pipelines, ML infrastructure, deployment processes, monitoring, automation, and CI/CD • Partner with Data Science leadership to move models efficiently from development into production • Define engineering standards, best practices, and reusable patterns for ML and data engineering • Guide architecture and technical decisions related to cloud data and ML infrastructure • Help establish the technical foundation for future agentic architecture and AI initiatives • Evaluate technical approaches and technologies based on scalability, reliability, maintainability, and delivery needs • Balance immediate delivery requirements with longer-term platform and architecture investments • Provide technical mentorship and guidance to Senior Data Engineers • Collaborate with Data Science and other technical teams to translate requirements into scalable engineering solutions • Communicate technical decisions, risks, dependencies, and progress clearly to stakeholders • Drive a culture of engineering quality, ownership, collaboration, and continuous improvement

🎯 Requisitos

• Significant professional experience in Data Engineering • Strong hands-on experience with cloud MLOps • Proven experience leading and mentoring Data Engineering teams • Strong understanding of cloud data architecture and machine learning infrastructure • Experience designing and implementing production-grade MLOps practices • Strong understanding of model deployment, monitoring, versioning, automation, and ML lifecycle management • Experience making technical and architectural decisions for data and ML platforms • Strong engineering fundamentals and ability to engage in technical discussions with senior engineers • Strong communication and stakeholder management skills • Ability to balance technical strategy with hands-on delivery and team leadership • Professional experience with Google Cloud Platform (GCP) (nice to have) • Experience with agentic architectures or AI engineering (nice to have) • Experience helping organizations establish the technical foundation for future AI initiatives (nice to have) • Experience working closely with Data Science teams to operationalize machine learning models (nice to have) • Experience defining long-term data and ML platform strategies (nice to have)

🏖️ Benefícios

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake • Access to AI learning paths to stay up to date with the latest technologies • Study plans, courses, and additional certifications tailored to your role • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills • English lessons to support your professional communication • Career development plans and mentorship programs to help shape your path • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to your location in LATAM