Datadog
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, RevOps, 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.
What You’ll Do
Design, build, and maintain scalable dbt models and SQL transformations to support global marketing analytics
Collaborate with Marketing Operations and RevOps 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
Who You Are
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, BigQuery, 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
Benefits and Growth
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
About Datadog Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people‑first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog 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.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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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
Design, build, and maintain scalable dbt models and SQL transformations to support global marketing analytics
Collaborate with Marketing Operations and RevOps 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
Who You Are
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, BigQuery, 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
Benefits and Growth
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
About Datadog Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people‑first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog 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.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
#J-18808-Ljbffr