Marketing Analytics Engineer

Datadog is looking for a Marketing Analytics Engineer with strong data architecture and modeling skills to build the foundation of reliable, scalable, and well-structured marketing data. In this role, you’ll design and maintain the data pipelines, models, and source tables that power analytics across our global marketing organization. You’ll partner closely with Data Engineering, Rev Ops, and GTMOps to translate complex data flows into streamlined, analysis-ready assets.

This is an ideal opportunity for someone who thrives on building robust backend systems that make actionable insights possible at scale.

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.

• Design, build, and maintain scalable dbt models and SQL transformations to support global marketing analytics
• Collaborate with Marketing Operations and Rev Ops to map data from platforms like Marketo, Salesforce, and advertising tools into the warehouse
• Partner with Data Engineering and GTMOps to optimize data architecture, align schemas, and improve governance
• Troubleshoot data pipelines to ensure attribution accuracy, campaign tracking integrity, and lead lifecycle measurement
• Build semantic layers and reusable models that power dashboards in Metabase, Tableau, or Looker
• Establish and maintain best practices for model versioning, documentation, testing, and data lineage

• 3–5 years of experience in analytics engineering, data engineering, or marketing data architecture—ideally in a B2B SaaS environment
• Advanced SQL skills and hands‑on experience developing in dbt (Data Build Tool)
• Proficient in working with cloud data warehouses such as Snowflake, Big Query, or Redshift
• Familiar with marketing systems like Marketo, Salesforce, and ad platforms, and how their data maps to pipelines and attribution models
• Experience with data quality testing, documentation standards, and pipeline monitoring practices
• Comfortable with BI tools (Metabase, Tableau, or Looker), with a strong focus on building underlying data structures

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.

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee‑focused best in class onboarding
• Internal mentor and cross‑departmental buddy program
• 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.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$94,000 — $125,000 USD

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.