Customer Data Engineering Manager - AI-Enabled Solutions

National Geographic; Boston (MA); On-site; USD 153,000 - 192,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

DraftKings in Boston is seeking a Data Engineering Manager, Customer, to lead a team building scalable data solutions that power our customer-focused organization. You'll balance people leadership with hands-on technical ownership, mentoring Data Engineers while shaping technical direction alongside Technical Product Managers, Software Engineers, and Delivery Managers.

You'll set standards for data quality, performance, and AI-enabled development practices, stay close to the code, and ensure

Qualifications

• Minimum 2 years of technical management experience with people leadership.
• Strong data engineering background with hands-on SQL across ingestion, transformation, and delivery.
• Experience with cloud data platforms such as Snowflake, Databricks, or BigQuery.
• Hands-on experience with agentic coding workflows and AI development loops.

Responsibilities

• Lead a team of Data Engineers, guiding career growth, performance, and culture.
• Deliver high-quality, scalable data solutions for the customer domain.
• Provide architectural guidance and hands-on code review to accelerate delivery.
• Set standards for scalable, testable, and high-performing data systems.

Skills

Technical leadership

Data engineering

SQL proficiency

Cloud platforms

Kafka

Airflow

Terraform

Python

Datadog

Mentorship

Tools

Snowflake

Databricks

BigQuery

Kafka

Airflow

Terraform

Python

Datadog

Job description

DraftKings in Boston is seeking a Data Engineering Manager, Customer, to lead a team building scalable data solutions that power our customer-focused organization. You'll balance people leadership with hands-on technical ownership, mentoring Data Engineers while shaping technical direction alongside Technical Product Managers, Software Engineers, and Delivery Managers.

You'll set standards for data quality, performance, and AI-enabled development practices, stay close to the code, and ensure