AI-Powered Data Engineering Manager, Customer

DraftKings Inc.

Boston (MA)

On-site

USD 153,000 - 192,000

Full time

4 days ago
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Benefits offered by this job

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Job summary

DraftKings Inc. is seeking a Data Engineering Manager for the Customer domain in Boston. You will lead a team of Data Engineers, deliver scalable data solutions, and advance AI-enabled development practices while staying close to code and architecture decisions.

You will mentor engineers, collaborate with PMs and delivery managers, and drive data foundations and reporting capabilities that empower faster, smarter decisions.

Qualifications

  • Minimum 2 years of technical management experience with people leadership.
  • Strong data engineering background with hands-on SQL expertise.
  • Experience with Snowflake, Databricks, or BigQuery required.
  • Familiarity with Kafka, Airflow, Terraform, Python, and Datadog.
  • Hands-on AI development loops and agentic coding workflows experience.
  • Mentorship, coordination, and clear communication skills is essential.
  • Experience building Customer 360 or CDP is a plus.
  • Ownership mindset and ability to adapt to changing priorities.

Responsibilities

  • Lead, mentor, and develop a team of Data Engineers.
  • Deliver scalable data solutions for the customer domain balancing speed and quality.
  • Advance AI-enabled software development lifecycle practices.
  • Remain hands-on with code, provide architectural guidance.
  • Set scalable, testable, reliable data solution standards.
  • Lead design discussions and communicate decisions clearly.
  • Foster an accountable, collaborative engineering culture.

Skills

Data engineering
SQL
Cloud platforms
Kafka
Airflow
Terraform
Python
Datadog
Mentorship
Communication
Customer 360

Tools

Snowflake
Databricks
BigQuery

Job description

DraftKings Inc. is seeking a Data Engineering Manager for the Customer domain in Boston. You will lead a team of Data Engineers, deliver scalable data solutions, and advance AI-enabled development practices while staying close to code and architecture decisions.

You will mentor engineers, collaborate with PMs and delivery managers, and drive data foundations and reporting capabilities that empower faster, smarter decisions.

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