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Executive Observability Engineer Jobs (NOW HIRING)

Asurion

Job Summary The Senior Manager, Observability & Enterprise Tools Engineer - Observability ... The position requires strong executive presence and the ability to communicate platform health ...

Referral Board

We are a team of creative technologists who live at the intersection of engineering and ... You'll work with a distributed team, including product, sales, marketing and executive leadership.

Marriott

FLEX Sr. Systems Engineer - Observability

Bethesda, MD · On-site

$111.50K - $152.60K/yr

JOB SUMMARY The Observability Sr. Systems Engineer role will define, implement, govern, optimize ... executives, business stakeholders and IT teams. * Demonstrated experience delivering technology ...

INSPYR Solutions

Data & Observability Architect

Dallas, TX · On-site

$200K - $325K/yr

Help build persona-oriented views for Finance, Operation, Executives, Developers, Platform etc. * Build and guide transparency around cost, observability and resiliency of the observability platform.

Dash0 Inc

Enterprise Account Executive

$250K - $300K/yr

The Opportunity Dash0 is looking for an Enterprise Account Executive to spearhead our entry into ... Experience in observability, DevOps, cloud infrastructure, or data platforms. * Existing ...

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Executive Observability Engineer information

What are the key skills and qualifications needed to thrive as an Executive Observability Engineer, and why are they important?

To thrive as an Executive Observability Engineer, you need deep expertise in performance monitoring, distributed systems, and troubleshooting, often supported by a degree in computer science or a related field. Familiarity with observability tools such as Datadog, New Relic, Prometheus, and advanced logging systems, as well as certifications like AWS Certified DevOps Engineer, is highly beneficial. Strong analytical thinking, communication, and leadership skills set top candidates apart in this role. These skills and qualities are crucial to proactively detect issues, optimize system performance, and drive strategic decision-making across complex technical environments.

What are some common challenges Executive Observability Engineers face when implementing organization-wide monitoring solutions?

Executive Observability Engineers often encounter challenges such as integrating diverse monitoring tools across legacy and modern systems, ensuring data consistency, and balancing comprehensive visibility with system performance. Coordinating with multiple teams to align observability goals and fostering a culture of proactive monitoring can also require strong communication and leadership skills. Successfully managing these complexities leads to more resilient infrastructure and improved incident response times.

What are Executive Observability Engineers?

Executive Observability Engineers are specialized IT professionals who design and manage systems that monitor, analyze, and optimize the health and performance of an organization's technology infrastructure. They focus on providing high-level visibility into applications, networks, and services, enabling executives to make data-driven decisions. These engineers implement observability tools, create dashboards, and generate reports that translate complex technical metrics into actionable business insights. Their work is crucial for ensuring system reliability, quick incident response, and continuous improvement across the organization.

What is the difference between Executive Observability Engineer vs Site Reliability Engineer?

AspectExecutive Observability EngineerSite Reliability Engineer
CredentialsTypically requires expertise in observability tools, monitoring, and cloud platformsRequires skills in systems engineering, coding, and infrastructure management
Work EnvironmentFocuses on designing observability solutions, analyzing system health, and strategic monitoringManages system reliability, automates deployment, and maintains infrastructure
Industry UsageUsed in tech companies emphasizing system visibility and performance analysisCommon in cloud services, SaaS, and large-scale web services

The Executive Observability Engineer primarily focuses on implementing and optimizing observability tools to ensure system health, while the Site Reliability Engineer concentrates on maintaining system reliability and automating infrastructure. Both roles require technical expertise but differ in their strategic versus operational focus.

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Executive Observability Engineer jobs near you
Infographic showing various Executive Observability Engineer job openings in the United States as of May 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Sr Data Quality & Observability Engineer (Snowflake)

Lamb Weston LATAM

Eagle, ID • On-site

$109.40K - $131.40K/yr

Full-time

Posted 3 days ago

Job description

Job Summary:
Lamb Weston is a leading manufacturer in the food industry, known for its innovative approach and commitment to quality. The Senior Data Quality & Observability Engineer will play a critical role in ensuring that enterprise data is accurate, consistent, and reliable through the implementation of data quality and observability practices.
Responsibilities:
• Design, implement, and maintain data quality rules, checks, and controls across enterprise data assets.
• Perform data profiling, root cause analysis, and anomaly detection across SAP and non-SAP data sources.
• Partner with business stakeholders to understand data quality issues, business impacts, and remediation priorities.
• Translate business requirements into measurable data quality rules and thresholds.
• Develop and maintain data quality frameworks, including reusable SQL patterns, UDFs, stored procedures.
• Implement automated scheduling and orchestration of data quality checks using Snowflake-native capabilities (e.g., tasks, streams) and/or pipeline orchestration tools (ie: Informatica).
• Implement data quality monitoring and observability scorecards, and reporting for key metadata domains.
• Own and evolve enterprise data quality KPIs/scorecards, including standardized definitions, thresholds, and executive-ready reporting across domains.
• Analyze data discrepancies and ensure reconciliation back to systems of record.
• Lead issue management workflows, including defect triage, prioritization, root cause documentation, corrective action validation, and prevention recommendations.
• Contribute to documentation of data quality standards, rules, and operational procedures.
• Assist in user acceptance testing and quality assurance for new or enhanced data assets.
• Provide input and feedback to improve enterprise data quality processes and tooling.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent experience.
• 5+ years of experience in data analysis, data quality, or analytics engineering roles.
• Strong SQL skills and experience working with large, complex datasets.
• Hands-on data quality experience, including implementing data quality logic using SQL and data functions (e.g., window functions, conditional logic, string/date functions, aggregations, table functions/CTEs).
• Demonstrated experience with data profiling, data validation, and data quality frameworks.
• Experience with Git-based version control, code review practices, and deploying changes through SDLC/CI-CD processes.
• Experience working in SAP data environments (ECC, S/4HANA, BW, or HANA)
• Business Analyst skills, including requirements gathering, documentation, and stakeholder facilitation.
• Familiarity with cloud data platforms such as Snowflake and AWS preferred.
• Understanding of data governance, metadata, and lineage concepts.
• Strong analytical, problem-solving, and communication skills.
• Ability to work collaboratively in cross-functional teams.
• Ability to travel up to 10 percent.
Preferred:
• Experience supporting Master Data domains such as Customer, Vendor, Material, or Finance.
• Experience with data quality or governance tools.
• Familiarity with Agile delivery methodologies.
• Passion for learning new technologies and continuously improving data quality practices.
Company:
Lamb Weston es un proveedor líder de productos congelados de papas, boniatos, aperitivos y vegetales para restaurantes y minoristas de todo el mundo. Founded in 1950, the company is headquartered in Buenos Aires, AR, , with a team of 5001-10000 employees. The company is currently Late Stage.

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