AI Data Engineering Lead - Hands-on Manager

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC; Washington (District of Columbia); On-site; USD 140,000 - 180,000; Full time

Job summary

The Carlyle Group seeks a hands‑on engineering manager to lead AI and data engineering for Global Private Equity. The team builds and runs a platform that unifies portfolio data and enables investment teams with AI‑driven tools on Snowflake, dbt, and AWS.

The role combines strong software and data engineering with product judgment, leading contract engineers while remaining code‑active. You’ll ensure accuracy, security, and reliability of AI and data services used across Carlyle’s private

Qualifications

• Bachelor’s degree or equivalent in a quantitative field; CS/engineering/finance preferred.
• 7+ years in software or data engineering; 3+ years in production software/data solutions.
• 2+ years leading engineering delivery, backlog ownership and code review.

Responsibilities

• Design, build and deploy LLM‑powered AI tools and agents for enterprise data.
• Define AI evaluation cases, regression suites, and gate releases by results.
• Implement security, governance, and audit controls for data/AI systems.
• Lead contract developers and data engineers; set technical direction and standards.
• Maintain governed data models, metadata, and lineage for trustworthy reporting.
• Promote CI/CD with GitHub Actions and IaC via Terraform on AWS.

Skills

Python

SQL

LLM‑powered

AI tooling

GitHub Actions

Terraform

AWS

Snowflake

dbt

Data engineering

Education

Bachelor’s degree in CS/Engineering/Finance

Tools

Snowflake

Databricks

Azure Synapse

dbt

Spark

AWS

GitHub Actions

Terraform

S3

ECS/Lambda

Job description

The Carlyle Group seeks a hands‑on engineering manager to lead AI and data engineering for Global Private Equity. The team builds and runs a platform that unifies portfolio data and enables investment teams with AI‑driven tools on Snowflake, dbt, and AWS.

The role combines strong software and data engineering with product judgment, leading contract engineers while remaining code‑active. You’ll ensure accuracy, security, and reliability of AI and data services used across Carlyle’s private