Principal Data Platform Architect & ML Pipelines Lead

McKinsey; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Global McKinsey community

Learning and coaching programs

Job summary

McKinsey & Company seeks a Principal Data Engineer to lead technical teams and architect enterprise data and AI platforms. The role focuses on building scalable data pipelines for ML, mentoring colleagues, and partnering with clients to deliver advanced analytics solutions across industries.

Based in North America with onsite opportunities, you will collaborate with QuantumBlack, AI by McKinsey, and QuantumBlack Labs in cross-functional Agile teams to drive impactful outcomes at scale.

Qualifications

• 10+ years of relevant professional experience.
• Experience architecting enterprise data and AI platforms for production use cases.
• Ability to lead and mentor junior colleagues.
• Experience implementing software engineering best practices (DevOps, DataOps, MLOps).
• Strong knowledge of distributed computing and cloud/SaaS tooling listed in the Technologies section.

Responsibilities

• Lead technical teams, architect data platforms, and build scalable pipelines while mentoring colleagues and collaborating with clients at all levels.
• Own technology for enterprise data and AI platforms and lead multiple technical teams.
• Design and build robust, scalable, and reproducible data pipelines for machine learning, ensuring information security standards are upheld.
• Contribute to R&D and tackle impactful challenges across industries.
• Mentor junior colleagues and drive innovation within the QuantumBlack, AI by McKinsey Data Engineering community.
• Partner with QuantumBlack, AI by McKinsey, and QuantumBlack Labs to create ML systems that accelerate AI adoption.
• Collaborate in cross-functional Agile teams to deliver advanced analytics solutions.
• Work with clients from data owners to C-level executives to architect solutions that address complex business problems.

Skills

Leadership

Mentoring

Agile methods

Client management

Tools

Spark

Dask

AWS

Azure

GCP

Docker

Kubernetes

pandas

NumPy

matplotlib

Databricks

Airflow

SQL

PySpark

Kedro

RAPIDS

Python

Scala

Java

Job description

McKinsey & Company seeks a Principal Data Engineer to lead technical teams and architect enterprise data and AI platforms. The role focuses on building scalable data pipelines for ML, mentoring colleagues, and partnering with clients to deliver advanced analytics solutions across industries.

Based in North America with onsite opportunities, you will collaborate with QuantumBlack, AI by McKinsey, and QuantumBlack Labs in cross-functional Agile teams to drive impactful outcomes at scale.