The New York Times

Engineering Manager, Data Platforms

New York, NY

Live, first seen by us 43 days ago

Pay: USD 160,000–190,000/year · BaseAnnual period assumed — pay source
The annual base pay range for this role is between: $160,000—$190,000 USD Candidate Use of GenAI Tools:
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Work setting: Hybrid — work setting source
The New York Times is looking for an Engineering Manager to lead the Compute and Storage team in the Data Platform mission. We build, run and scale the shared compute engines, lakehouse storage and connective infrastructure that power our data platform at The Times. Our work enables teams across the company to publish and own data products without managing the infrastructure underneath. You will report to the Senior Engineering Manager of Data Platforms. This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2-3+ days/week. Responsibilities
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Employment: Not stated

What you’ll work on

Full posting

The New York Times is looking for an Engineering Manager to lead the Compute and Storage team in the Data Platform mission.

This is a hybrid role based in our New York City headquarters.

Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement.
Oversee roadmap execution for our compute, streaming, orchestration and lakehouse storage platforms.
Define and track service goals for availability, provisioning speed, pipeline success and query performance.

From the employer’s posting

The New York Times is looking for an Engineering Manager to lead the Compute and Storage team in the Data Platform mission. We build, run and scale the shared compute engines, lakehouse storage and connective infrastructure that power our data platform at The Times. Our work enables teams across the company to publish and own data products without managing the infrastructure underneath. You will report to the Senior Engineering Manager of Data Platforms.

This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2-3+ days/week.

Responsibilities Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement. Oversee roadmap execution for our compute, streaming, orchestration and lakehouse storage platforms.

Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement. Oversee roadmap execution for our compute, streaming, orchestration and lakehouse storage platforms. Guide architecture and technical decisions. Set standards for shared platform code and engine integrations so our systems stay secure, reliable and scalable.

Guide architecture and technical decisions. Set standards for shared platform code and engine integrations so our systems stay secure, reliable and scalable. Define and track service goals for availability, provisioning speed, pipeline success and query performance. Build strong practices for on-call, automation, SLAs and escalation paths.

What you’ll bring

All qualifications

Core experience

1+ years of experience as an engineering manager, and 4+ years in a technical leadership role working with cross-functional partners.
5+ years of software or data infrastructure engineering experience building scalable and distributed systems.
Experience running production cloud infrastructure on Kubernetes.

Preferred experience

Experience with data processing engines and runtimes such as Spark, Trino, Flink, Kafka, Airflow.
Experience leading platform migrations, system deprecations, and vendor evaluations.
Understanding of data governance or privacy tooling, such as data cataloging, lineage or data subject requests.

Qualification wording

1+ years of experience as an engineering manager, and 4+ years in a technical leadership role working with cross-functional partners.

5+ years of software or data infrastructure engineering experience building scalable and distributed systems.

Experience running production cloud infrastructure on Kubernetes.

Experience with data processing engines and runtimes such as Spark, Trino, Flink, Kafka, Airflow.

Experience leading platform migrations, system deprecations, and vendor evaluations.

Understanding of data governance or privacy tooling, such as data cataloging, lineage or data subject requests.

Apply at The New York Times

Posting record

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Status in our records: Live
First seen by us: Oct 2, 202643 days ago
Recorded sightings: 58
Last seen by us: Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$160K–$190K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 43

Similar jobs usually come down between day 8 and day 57.

At The New York Times, jobs usually come down by about day 65.

From 9,519 similar postings that came down, and 18 of The New York Times’s. Coming down is not always a hire.

The New York Times is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Kafka
Kubernetes
Trino
Airflow

Where the posting names them

Preferred Qualifications - Experience with data processing engines and runtimes such as Spark, Trino, Flink, Kafka, Airflow. - Experience leading platform migrations, system deprecations, and vendor evaluations.

- 5+ years of software or data infrastructure engineering experience building scalable and distributed systems. - Experience running production cloud infrastructure on Kubernetes. - Skilled in defining SLOs and SLAs, monitoring and alerting, incident management and operational automation.

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About The New York Times

People: About 6,000 in 2025, up 2% from the year before.Annual report (SEC Form 10-K)
Company: Listed as NYT.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

About the Role

The New York Times is looking for an Engineering Manager to lead the Compute and Storage team in the Data Platform mission. We build, run and scale the shared compute engines, lakehouse storage and connective infrastructure that power our data platform at The Times. Our work enables teams across the company to publish and own data products without managing the infrastructure underneath. You will report to the Senior Engineering Manager of Data Platforms.

This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2-3+ days/week.

Responsibilities

Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement.
Oversee roadmap execution for our compute, streaming, orchestration and lakehouse storage platforms.
Guide architecture and technical decisions. Set standards for shared platform code and engine integrations so our systems stay secure, reliable and scalable.
Define and track service goals for availability, provisioning speed, pipeline success and query performance.
Build strong practices for on-call, automation, SLAs and escalation paths.
Partner with the product and engineering teams that build on our platform to turn their needs into self-service capabilities.
Develop and maintain budgets, forecasts and a cost attribution model.
Support our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications

1+ years of experience as an engineering manager, and 4+ years in a technical leadership role working with cross-functional partners.
5+ years of software or data infrastructure engineering experience building scalable and distributed systems.
Experience running production cloud infrastructure on Kubernetes.
Skilled in defining SLOs and SLAs, monitoring and alerting, incident management and operational automation.
Strong technical fluency. Comfortable guiding architecture discussions and reviewing code alongside engineers.

Preferred Qualifications

Experience with data processing engines and runtimes such as Spark, Trino, Flink, Kafka, Airflow.
Experience leading platform migrations, system deprecations, and vendor evaluations.
Understanding of data governance or privacy tooling, such as data cataloging, lineage or data subject requests.

#LI-Hybrid

REQ-020676

Compensation and Benefits For This Role:

In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

The annual base pay range for this role is between:

$160,000—$190,000 USD

Candidate Use of GenAI Tools:

We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.

If you’re an engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.

The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

For information about The New York Times' privacy practices for job applicants, click here.

Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

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