Lead Data Engineer - AI Data Ingestion & Integration

BMO U.S.

Chicago (IL)

On-site

USD 122,000 - 228,000

Full time

2 days ago

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Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO Financial Group is seeking a Lead Data Engineer for the Applied AI Data Ingestion & Integration (DII) team in Chicago. You will own data ingestion, integration, quality, and governance across AI and analytics workloads, partnering with product owners, data scientists, and stakeholders to deliver scalable, compliant data solutions.

You will mentor engineers, drive automation, and push adoption of Generative AI technologies and RAG-based workflows, building robust data platforms and

Qualifications

8-10 years of experience in Data Engineering or related analytics disciplines within large enterprise environments.
3+ years as a Technical Delivery leader.
Experience leading enterprise data integration, data warehousing, ETL/ELT, cloud data platforms, and production analytics or AI platforms.

Responsibilities

Lead data analysis and integration initiatives for AI, analytics, and BI use cases.
Translate business needs into data requirements, models, and integration strategies.
Design and implement scalable data ingestion and integration pipelines for structured and unstructured data.

Skills

SQL

Python

Data modeling

Data governance

MLOps

Education

Bachelor's degree in CS or related field

Master's degree preferred

Certifications in Data Management or Cloud Platforms asset

Tools

Power BI

Tableau

Azure Data Factory

Azure AI Search

Job description

You will mentor engineers, drive automation, and push adoption of Generative AI technologies and RAG-based workflows, building robust data platforms and

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