Data Engineering Manager, Customer

AI Enabled Solutions LLC
Boston, MA, United States
20 days ago
Apply on careers.draftkings.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Compensation
$153,000.0 - $192,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow BigQuery Customer Data Management Information Engineering Data Systems Python (Programming Language) Cloud Services Software Engineering SQL Databases Datadog Data Ingestion
+4 more
Snowflake Apache Kafka Terraform Databricks

Job description

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.

Requirements

  • 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.

Benefits & conditions

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.

About the company

Lead and mentor a data engineering team building scalable customer-focused data solutions. Hands-on technical ownership, architecture guidance, and delivery of data ingestion, transformation, and reporting. Advance AI-enabled development practices, set technical standards, and foster a collaborative, accountable engineering culture to improve speed, quality, and reliability. The summary above was generated by AI 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, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on careers.draftkings.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon ¡ World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

1:36 min

Visualizing memory limits and isolating suspicious endpoints

Dina Matveev Dina Matveev ¡ Europe 2026 Virtual

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph ¡ LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy ¡ World Congress 2024

1:08 min

Analyzing error logs and root causes using artificial intelligence

Nishil Patel Nishil Patel ¡ World Congress 2025

Videos

See all

Related articles

See all