Data Observability Engineer- Datadog

Yoh, A Day & Zimmermann Company; New York (NY); On-site; USD 9,660,420 - 13,758,780; Full time

Benefits offered by this job

Medical, Prescription, Dental & Vision

HSA

401K Retirement Savings Plan

EAP

Certification and training

Job summary

Yoh, a Day & Zimmermann Company, seeks a Data Observability Engineer to lead Datadog-based observability across the enterprise data ecosystem. You will design, implement, and expand monitoring, dashboards, and alerts to ensure platform health and performance.

The role emphasizes integration of Snowflake, Databricks, Oracle, SQL Server, MongoDB, Power BI, and Tableau, partnering with data engineering teams to instrument pipelines and enable autonomous remediation.

Qualifications

• Hands-on Datadog deployment in enterprise environments.
• Experience integrating data platforms into Datadog for monitoring and observability.
• Understanding of data pipelines, data warehouses, and analytics platforms.
• Ability to work across multiple engineering teams.

Responsibilities

• Design, implement, and maintain enterprise-wide data observability solutions using Datadog.
• Integrate data platforms and technologies into Datadog to provide centralized monitoring, dashboards, metrics, and alerting.
• Build observability for modern data platforms including Snowflake, Databricks, Oracle, SQL Server, MongoDB, Power BI, Tableau.
• Develop dashboards that provide real-time visibility into platform health and performance.
• Collaborate with infrastructure and cloud teams to improve reliability and automation.

Skills

Datadog

Observability

Dashboards

Alerts

Data pipelines

Data platforms

Monitoring

Cross-team collaboration

Troubleshooting

Tools

Datadog

Snowflake

Databricks

Oracle

SQL Server

MongoDB

Power BI

Tableau

Job description

Position Overview

We are seeking a Data Observability Engineer to lead the implementation and expansion of observability across our enterprise data ecosystem. This role will be responsible for designing, integrating, and maintaining Datadog-based observability for modern data platforms, ensuring visibility into platform health, data pipelines, and operational performance.

This is not a traditional Data Engineer or ETL role. Instead, the ideal candidate will have deep expertise in Datadog and experience integrating enterprise data platforms into a centralized observability framework. The goal is to provide proactive monitoring, alerting, and ultimately enable autonomous issue detection and remediation across the organization's data landscape.

Key Responsibilities

• Design, implement, and maintain enterprise-wide data observability solutions using Datadog.
• Integrate data platforms and technologies into Datadog to provide centralized monitoring, dashboards, metrics, and alerting.
• Build observability for modern data platforms including:
• Snowflake
• Databricks
• Oracle
• SQL Server
• MongoDB
• Power BI
• Tableau
• Develop dashboards that provide real‑time visibility into platform health, performance, availability, and operational issues.
• Partner with Data Engineering teams to instrument pipelines and improve monitoring across the data ecosystem.
• Help drive automation initiatives that enable proactive detection and autonomous remediation of platform issues.
• Collaborate with infrastructure, cloud, and engineering teams to improve operational reliability and performance.
• Recommend observability best practices and help establish enterprise monitoring standards.

Required Qualifications

• Strong hands‑on experience implementing Datadog in enterprise environments.
• Experience integrating data engineering platforms into Datadog for monitoring and observability.
• Working knowledge of modern data platforms such as:
• Snowflake (preferred)
• Databricks
• Oracle
• SQL Server
• MongoDB
• Power BI
• Tableau
• Understanding of data pipelines, data warehouses, and enterprise analytics platforms.
• Experience building monitoring dashboards, alerts, metrics, and operational health reporting.
• Ability to work across multiple engineering teams and technologies.
• Strong troubleshooting and problem‑solving skills.

Preferred Qualifications

• Experience implementing Snowflake observability within Datadog.
• Experience supporting enterprise‑scale cloud data platforms.
• Familiarity with automation and self‑healing monitoring solutions.
• Exposure to AI‑driven or autonomous operations (AIOps) is a plus.
• Experience working in large, complex enterprise environments.

Estimated Min Rate: $ 85.00

Benefits

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

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.