Datadog
Datadog

60 Datadog Data Jobs Hiring Near You

Datadog is seeking a Privacy Counsel to join our Privacy Legal team and play a key role in scaling Datadog's global data privacy and AI governance program. In this role, you will advise on a wide ...

Billing Operations Analyst

Denver, CO · On-site

$71K - $103K/yr

... data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables ...

Director, Compensation Programs

New York, NY · On-site

$185K - $290K/yr

... data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables ...

We work directly with Datadog's most senior leaders to set strategy, improve efficiency across the business, support data-driven decision-making, own complex operations, and more. In this role, you ...

... data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables ...

Staff AI Engineer - Notebooks

New York, NY · On-site

$234K - $300K/yr

Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact.

Product Marketing Manager

New York, NY · On-site

$123K - $164K/yr

This role will be a great fit for product marketers who can thrive in dynamic environments, are data-driven and eager to jump-in and get things done. At Datadog, we place value in our office culture ...

At Datadog, Custom Metrics sits at the heart of how our most sophisticated customers understand, govern, and scale their observability data. As we look toward 2026 and beyond, this area is becoming ...

... data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables ...

Showing results 21-40

Datadog Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What is it like to work at Datadog?

Datadog is a fast-paced and collaborative company that prioritizes innovation and customer satisfaction, fostering a culture of experimentation and continuous improvement.

The company's engineering teams are organized around product areas, allowing for a high degree of autonomy and flexibility in project work, while also promoting cross-functional collaboration and knowledge sharing. Datadog's offices are designed to be open and welcoming, with amenities such as game rooms, fitness centers, and on-site cafes.

Working at Datadog may appeal to candidates who value a dynamic and entrepreneurial work environment, with opportunities to contribute to the development of cutting-edge monitoring and analytics tools that help organizations improve their digital infrastructure and services.
What are the most popular job types at Datadog?
    Infographic showing various Data job openings at Datadog in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution.
    Privacy Counsel

    Privacy Counsel

    Datadog

    New York, NY • Hybrid

    Other

    Posted 12 days ago


    Job description

    Datadog is seeking a Privacy Counsel to join our Privacy Legal team and play a key role in scaling Datadog's global data privacy and AI governance program. In this role, you will advise on a wide range of data protection, cybersecurity, and AI matters, partnering with teams across legal, product, engineering, information security, employment, and marketing. This role offers meaningful exposure to novel questions at the intersection of privacy, security, AI governance, and SaaS product development.

    Datadog operates as a hybrid workplace, and this role is based in our New York office.

    At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.


    What You'll Do:

    • Support product and engineering teams by conducting privacy and AI risk assessments for new features and launches, and embedding privacy-by-design principles into our product development processes
    • Review and negotiate DPAs, BAAs, and data-related contract terms, including handling sophisticated redlines and advising on GDPR and U.S. data protection laws
    • Maintain and scale Datadog's privacy program, including privacy policies, notices, customer-facing documentation, contractual templates, M&A privacy diligence and post-acquisition product integration 
    • Contribute to Datadog's AI governance program, including developing internal policies and guidance on responsible AI use and monitoring emerging AI regulatory developments
    • Support privacy compliance initiatives for customers in regulated industries, including healthcare and financial services
    • Monitor and assess global privacy, data protection, cybersecurity, and AI laws, conducting gap analyses and implementing requirements to ensure Datadog's compliance

    Who You Are:

    • JD from an accredited law school and have an active U.S. bar membership
    • 3+ years of relevant privacy experience, ideally with exposure to both product counseling and commercial negotiations
    • Familiarity with SaaS and cloud infrastructure concepts and emerging AI technologies
    • Working knowledge of global privacy and cybersecurity laws, including U.S. state and federal privacy regulations, GDPR, and the EU AI Act
    • Excellent communicator, comfortable engaging with both legal and non-legal stakeholders across functions
    • Strong organizational skills and sound judgment, with the ability to work autonomously, manage competing priorities, and escalate effectively 
    • Commercially minded and pragmatic, able to translate complex legal requirements into clear, actionable guidance
    • CIPP/E, CIPP/US and/or AIGP certification is a strong asset

    Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

    Benefits and Growth:

    • Generous and competitive benefits package
    • New hire stock equity (RSUs) and employee stock purchase plan
    • Continuous career development and pathing opportunities 
    • Product training to develop an in-depth understanding of our product and space
    • Best in breed onboarding
    • Internal mentor and buddy program cross-departmentally
    • Friendly and inclusive workplace culture

    Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

    #LI-Hybrid