Data Engineer Manager

Stack

Responsibilities

• ▹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 closely with Data Science leadership to ensure models move 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 required 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

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

Nice to have

• ▹Exposure to agentic architectures or related AI engineering patterns

Soft skills

About the company

Blend is a premier AI services provider, co-creating meaningful impact for its clients through the power of data science, AI, technology and people.