3M is a global company that values innovation and collaboration among its employees. They are seeking a Lead Data Engineer who will design, develop, and optimize data platforms to support advanced analytics and machine learning applications across the organization.

Responsibilities:

Lead the architecture and development of scalable, secure data pipelines supporting AI/ML workloads
Own end to end data engineering processes: ingestion, transformation, storage, quality, and monitoring
Collaborate with data scientists and ML engineers on model features, training pipelines, and deployment
Drive best practices in data modeling, orchestration, versioning, and performance optimization
Mentor and guide junior engineers; contribute to technical roadmaps and solution patterns
Ensure data governance, lineage, and compliance standards are met across platforms
Support real time and batch processing frameworks in production environments

Requirements:

Bachelor's degree or higher in computer science (completed and verified prior to start) from an accredited institution
Seven (7) or more years of data engineering experience, including leading technical initiatives
Strong expertise in Python, SQL, and distributed data systems (e.g., Spark, Databricks, Synapse)
Experience building AI/ML ready data pipelines, including feature stores and model training data flows
Hands on experience with cloud platforms (Azure preferred — Data Lake, Data Factory, Databricks, Cosmos DB)
Strong understanding of ML concepts, lifecycle, and MLOps practices
Proven experience with workflow orchestration (Airflow, Data Factory, Synapse Pipelines, etc.)
Strong communication and ability to translate business needs into technical solutions
Experience with streaming platforms (Kafka, Event Hub)
Familiarity with vector databases, embeddings, or LLM oriented data pipelines
Background in DevOps, CI/CD, or infrastructure as code
Experience designing data solutions for AI applications or intelligent platforms

3M

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Engineering

Lead Data Engineer