Data Engineering Manager, Customer

DraftKings Inc.; Boston (MA); On-site; USD 153,000 - 192,000; Full time

Benefits offered by this job

Equity

Benefits

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

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Data Engineering Manager, Customer, you’ll lead a team building scalable data solutions that power critical capabilities across our customer-focused organization. You’ll combine people leadership with hands‑on technical ownership, developing talented Data Engineers while staying close to the code and shaping technical direction. Working alongside Technical Product Managers, Software Engineers, and Delivery Managers, you’ll strengthen the data foundations, reporting capabilities, and AI‑enabled development practices that help teams move faster and make informed decisions. You’ll set a high bar for accountability, engineering excellence, and consistent delivery across the team.

What you’ll do as a Data Engineering Manager, Customer

• Lead, mentor, and develop a team of Data Engineers, supporting career growth, performance, and a collaborative team culture.
• Guide your team in delivering high‑quality, scalable data solutions across the customer domain while balancing speed, quality, and evolving business priorities.
• Advance AI‑enabled software development lifecycle practices already embedded in the team’s workflow, using them to improve engineering efficiency and accelerate delivery.
• Stay hands‑on with the codebase, provide architectural guidance, and help your team navigate complex technical challenges.
• Set technical standards that make data solutions scalable, testable, reliable, and high‑performing.
• Lead technical design discussions and clearly communicate decisions, tradeoffs, and recommendations through written and verbal communication.
• Build a healthy, accountable engineering culture grounded in open communication, collaboration, ownership, and continuous improvement.

What you’ll bring

• At least 2 years of technical management experience, including direct people leadership, career development, coaching, and performance management.
• A strong Data Engineering background with hands‑on SQL experience across data ingestion, transformation, and delivery.
• Experience working with cloud data platforms such as Snowflake, Databricks, or BigQuery.
• Familiarity with technologies such as Kafka, Airflow, Terraform, Python, and Datadog.
• Hands‑on experience with agentic coding workflows, including using multi‑step AI development loops to build, test, and ship code beyond AI‑assisted autocomplete.
• Technical depth paired with strong mentorship, team‑building, and communication skills, with the ability to engage technical and non‑technical audiences.
• Experience building or implementing a Customer 360 or Customer Data Platform is a plus.
• A strong sense of ownership and accountability, with the ability to adapt to changing priorities, take action, and continuously improve how your team delivers.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full‑time position is 153,400.00 USD - 191,800.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.