Data Engineer Manager

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• 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 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 • 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

🎯 Requirements

• 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) preferred • Experience with agentic architectures or AI engineering preferred • Experience helping organizations establish the technical foundation for future AI initiatives preferred • Experience working closely with Data Science teams to operationalize machine learning models preferred • Experience defining long-term data and ML platform strategies preferred

🏖️ Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to your role • Access to Udemy Business • English lessons • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to your location in LATAM