Lead Data Platform Architect for AI & ML

QuantumBlack, AI by McKinsey

New York (NY)

On-site

USD 180,000 - 240,000

Full time

27 hours ago

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Job summary

QuantumBlack, AI by McKinsey is seeking a Senior Data Engineer to lead technical teams, architect enterprise data and AI platforms, and build scalable data pipelines for advanced analytics. You will mentor junior engineers, collaborate with clients and cross-functional teams, and drive innovation across industries.

Based in North America with cross-functional Agile collaboration. You will work with Data Scientists, ML Engineers, and industry experts to deliver impactful analytics solutions while

Qualifications

10+ years of relevant professional experience.
Degree in CS, Engineering, Mathematics, or equivalent experience.
Ability to translate roadmaps into sprint goals in agile environments.
Experience architecting enterprise data and AI platforms in production.

Responsibilities

Lead technical teams and mentor colleagues.
Architect data platforms and scalable pipelines for AI/ML.
Collaborate with clients and cross-functional teams.
Drive R&D and innovation within the Data Engineering community.
Ensure information security standards are upheld across platforms.
Deliver analytics solutions with impact across industries.

Skills

Leadership & mentoring

Communication skills

Time management

Travel willingness

Education

Degree in CS/Engineering/Math

Tools

Spark

Dask

AWS

Azure

GCP

Docker

Kubernetes

Pandas

NumPy

Matplotlib

Databricks

Airflow

SQL

PySpark

Kedro

RAPIDS

Job description

Based in North America with cross-functional Agile collaboration. You will work with Data Scientists, ML Engineers, and industry experts to deliver impactful analytics solutions while

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