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Executive Observability Engineer Jobs (NOW HIRING)

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

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.

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.

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.

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 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.

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 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.
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Infographic showing various Executive Observability Engineer job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.
Sr Data Quality & Observability Engineer (Snowflake)

Sr Data Quality & Observability Engineer (Snowflake)

Lamb Weston

Boise, ID • On-site

$109K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Lamb Weston rating

6.9

Company rating: 6.9 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

207th of 389 rated food and drinks producers


Job description

Requisition Number: Req-260809
Position Title:
External Description: Title: Sr Data Quality & Observability Engineer (Snowflake)
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Location: Statewide Multi Use, ID
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Job Requisition ID: Req-260809
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Time Type: Full time
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About Lamb Weston
You’ve probably enjoyed our fries without even knowing it! As a leading manufacturer in our industry, we inspire and bring people together with foods they love and trust. Our customer base includes international food service providers, restaurants, and households in over 100 countries around the world.Â
A highly innovative global corporation with a start-up mindset, we empower every individual to make a genuine difference. You’ll gain access to hands-on training to fuel your growth and success, explore opportunities for new solutions, and you’ll join a winning team of 10,000+ people all dedicated to raising the bar â€" together.
If you have a strong drive for results, a desire to help us bring the world together through our fries, and are ready for a fresh challenge, we want to hear from you.
Job Description Summary
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Lamb Weston is continuing to modernize its enterprise data ecosystem to support high-quality analytics, reporting, and decision-making across the business. As part of this transformation, the Senior Data Quality & Observability Engineer plays a critical role in ensuring enterprise data is accurate, consistent, reliable, and fit for purpose through measurable data quality and data observability practices.
This role combines strong technical data engineering and data analysis skills with business analysis capabilities and hands-on experience driving enterprise data quality and data observability initiatives. The individual will work closely with data engineering, data governance, SAP, and business stakeholders to profile data, define and implement automated quality rules, establish quality SLAs, monitor quality metrics, and resolve data issues at their source. This role owns the design and implementation of scalable, reusable data quality controls embedded in Snowflake ELT pipelines and downstream consumption layers.
SAP experience is highly valued, as this role will support data quality across SAP master and transactional data domains integrated into Snowflake and downstream analytics platforms.
Snowflake or Informatica data quality development expertise is required, including hands-on implementation of data quality logic using Snowflake SQL and native capabilities.
Job Description
  • 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.

Basic & Preferred Qualifications
  • 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 Qualifications
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  • 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.

Industry-Competitive Benefits
Coupled with our compensation and bonus incentive programs, our benefits deliver rewards that are market competitive. Â Some of the most attractive elements of our benefit programs include:
  • Health Insurance Benefits - Medical, Dental, Vision
  • Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts
  • Well-being programs including companywide events and a wellness incentive program
  • Paid Time Off
  • Financial Wellness â€" Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance
  • Family-Friendly Employee events
  • Employee Assistance Program services â€" mental health and other concierge type services

Benefits may vary based on location, job role/level, job status, and/or the terms of any applicable collective bargaining agreements.
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Anticipated Close Date
The anticipated close date is a good faith estimate for when this job will be closed. Some jobs may be unposted or filled earlier or later than the Anticipated Close Date depending on interview processes and business needs.
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Anticipated Close Date: 07/27/2026
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Pay Transparency
In compliance with applicable state and local laws, Lamb Weston has opted to include a reasonable estimate of the compensation for this role. This compensation is specific to this position and takes into account a number of variables. Actual compensation may be higher or lower in the range posted based on various factors, including, but not limited to, job duties, experience and expertise. A candidate's work location could also impact the actual compensation being outside of the range to reflect local cost of labor. A reasonable annual estimate of the range for this role is listed below.
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Pay Rate or Range: $117,060.00 - $175,600.00
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Equal Opportunity Employer
Lamb Weston is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status or any other protected factor under federal, state or local law
City:
State:
Community / Marketing Title: Sr Data Quality & Observability Engineer (Snowflake)
Company Profile:
Lamb Weston is a leading supplier of frozen potato, sweet potato, appetizer and vegetable products to restaurants and retailers around the world.
For more than 60 years, Lamb Weston has led the industry in innovation, introducing inventive products that simplify back-of-house management for our customer and make things more delicious for their customers.
It's all about seeing the possibilities in potatoes and never, ever settling.
Learn more about us at lambweston.com.
Location_formattedLocationLong: Idaho, US

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