WatchGuard Technologies is seeking an experienced HR leader to provide maternity leave coverage for our Director, Human Resources – Americas. This role is heavily focused on compensation strategy, annual merit planning, bonus administration, and HR business partnership. The successful candidate will be highly analytical, exceptionally strong in Excel and project management, detail oriented, and comfortable partnering with senior leaders using data to drive compensation decisions.
Key Responsibilities Compensation & Rewards (Primary Focus)Own end-to-end project management of the annual merit review process for ~1,100 employees globally, including budget & timeline development, manager enablement, data accuracy, and on-time delivery of final increases.Own calculation of the full company annual bonus payments based on MBO attainment, tracking exceptions (e.g. leaves, transfers, new hires, terminations), and ensuring accurate, timely delivery of final payout data to Payroll.Analyze internal equity, market competitiveness, and pay recommendations.In partnership with the VP Human Resources, partner cross-functionally with Finance and senior Executives to finalize merit and bonus decisions on a tight timeline.Prepare executive-level dashboards, reports, and presentations.Ensure compensation decisions are equitable, competitive, and data-driven.Own compensation data integrity and reporting.HR Operations & Analytics Interpret HR metrics and provide actionable insights.Ensure compliance with employment laws across the Americas.Support strategic HR initiatives during the maternity leave period.Deliver accurate, clean HR reporting on-demand based on the needs of the business.HR Business Partnership
Partner with HR Business Partners, Directors, Vice Presidents, and business leaders on employee relations, performance management, organizational design, and workforce planning. Coach leaders through complex people issues and organizational changes. Partner with Legal on employment matters as needed. Support employee engagement and organizational effectiveness initiatives.Performance Management
Oversee the 2026 MBO attainment and scoring process, including calibration activities, in preparation for bonus calculation. Support the 2027 MBO goal-setting process, ensuring employees and managers have the tools they need to set impactful goals.Provide HR guidance to leaders throughout the performance review cycle. Required Qualifications Bachelor's degree in Human Resources, Business, Finance, or related field.8+ years of progressive HR experience.Significant experience leading annual merit cycles, MBO based bonus calculation, and performance management/goal-setting processes.Strong compensation analysis experience required.Strong project management skills, with proven ability to manage multiple concurrent, detail-intensive work steams on tight deadlines.Advanced Microsoft Excel skills (e.g. pivot tables, VLOOKUP/XLOOKUP, INDEX/MATCH, nested formulas); experience working with large datasets is essential.Experience partnering with Finance and senior executives.Strong analytical, problem-solving, and presentation skills.Technology industry experience preferred.Success Measures Merit review process for ~1,100 global employees completed accurately and on schedule.MBO-based annual bonus payments calculated correctly, with exceptions tracked and payout delivered on schedule.2026 MBO attainment closed out and 2027 MBOs set, with the performance management cycle running smoothly and managers well-supported.Ensure seamless, trusted HR partnership to business leaders & coverage during the maternity leave period.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessAbout the Position
The WatchGuard accounting team is primarily based in Seattle, WA with numerous accountants around the world supporting international operations.
This position reports to the Corporate Controller and is responsible for various aspects of the general ledger as assigned. Areas of responsibility include assuring company compliance with generally accepted accounting principles; development, improvement of and compliance with company policies and procedures; and management of the monthly closing process and financial reporting.
Position Responsibilities
Skills and Qualifications
Bachelor's degree in Accounting, Finance, or related fieldCPA & public accounting experience preferredWork history should include 3+ years in position(s) with equivalent responsibilities and experience Position requires a strong general accounting background, experience with month-end close and knowledge of US GAAPProficiency with Microsoft ExcelIndividual must be team-oriented self-starter with good problem-solving skills and ability to interact positively and successfully with all levels of the companyExcellent verbal and written communication skillsHighly detail-oriented with excellent time management, prioritization, and organizational skills
CompensationThe base salary range is $90,000-$110,000 per year for full-time employment, exclusive of benefits. Your base salary will be determined by your individual skills, education, and experience. Hiring at the maximum of the range is not typical in order to allow for future salary growth. U.S. Benefits· Comprehensive benefits plan including medical, dental, vision, disability, and life insurance· Healthcare HSA· HSA with employer contribution· 10 paid holidays· 10 days of paid annual leave· 9 days of paid sick time· Paid parental leave· 401(k) with employer match Other Perks· Education assistance program· Dependent Care HSA match· Adoption assistance· Fertility care support· Backup care for family and pets· A growing network of employee resource groups· Employee referral program· Employee Assistance Program
Why Work for WatchGuard?
WatchGuard is a global leader in network security and intelligence, advanced endpoint protection, multi-factor authentication, and secure Wi-Fi. Our award-winning products and services are trusted worldwide by more than 18,000 security resellers and service providers to protect more than 250,000 customers. Our technology keeps our customers ahead of increasingly sophisticated hackers and has fueled record revenues at WatchGuard.
WatchGuard is headquartered in Seattle, Washington, with team members working remotely and in offices worldwide.
Our company culture places an intense focus on our customers and employees. From the newest employee to our CEO, you'll find that each person at WatchGuard embodies our Core Values: Accountability, Community, Belonging, Action, Innovation, and Customer-Centric. Learn more about our company culture at www.watchguard.com/wgrd-careers.
WatchGuard provides equal employment opportunities for all qualified employees, regardless of their race, color, national origin, religion, ancestry, creed, pregnancy, age, sex, sexual orientation (including gender expression or identity), marital status, mental or physical disability, honorably discharged veteran or military status or any other category protected by federal, state or local laws. Our equal employment opportunity (or EEO) policy focuses solely on the talent, hard work, contributions, and actual results achieved by each WatchGuard employee and on the potential of employment candidates to make such contributions. We consider focusing on an employee's protected characteristics rather than on talent, hard work, and actual work results to violate our EEO policy. As an Equal Opportunity Employer, we are committed to a diverse workforce. WatchGuard participates in E-verify.
WatchGuard is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessAbout the Position
The WatchGuard accounting team is primarily based in Seattle, WA with numerous accountants around the world supporting international operations.
This position reports to the Corporate Controller and is responsible for various aspects of the general ledger as assigned. Areas of responsibility include assuring company compliance with generally accepted accounting principles; development, improvement of and compliance with company policies and procedures; and management of the monthly closing process and financial reporting.
Position Responsibilities
Skills and Qualifications
Bachelor's degree in Accounting, Finance, or related fieldCPA & public accounting experience preferredWork history should include 3+ years in position(s) with equivalent responsibilities and experience Position requires a strong general accounting background, experience with month-end close and knowledge of US GAAPProficiency with Microsoft ExcelIndividual must be team-oriented self-starter with good problem-solving skills and ability to interact positively and successfully with all levels of the companyExcellent verbal and written communication skillsHighly detail-oriented with excellent time management, prioritization, and organizational skills
CompensationThe base salary range is $90,000-$110,000 per year for full-time employment, exclusive of benefits. Your base salary will be determined by your individual skills, education, and experience. Hiring at the maximum of the range is not typical in order to allow for future salary growth. U.S. Benefits· Comprehensive benefits plan including medical, dental, vision, disability, and life insurance· Healthcare HSA· HSA with employer contribution· 10 paid holidays· 10 days of paid annual leave· 9 days of paid sick time· Paid parental leave· 401(k) with employer match Other Perks· Education assistance program· Dependent Care HSA match· Adoption assistance· Fertility care support· Backup care for family and pets· A growing network of employee resource groups· Employee referral program· Employee Assistance Program
Why Work for WatchGuard?
WatchGuard is a global leader in network security and intelligence, advanced endpoint protection, multi-factor authentication, and secure Wi-Fi. Our award-winning products and services are trusted worldwide by more than 18,000 security resellers and service providers to protect more than 250,000 customers. Our technology keeps our customers ahead of increasingly sophisticated hackers and has fueled record revenues at WatchGuard.
WatchGuard is headquartered in Seattle, Washington, with team members working remotely and in offices worldwide.
Our company culture places an intense focus on our customers and employees. From the newest employee to our CEO, you'll find that each person at WatchGuard embodies our Core Values: Accountability, Community, Belonging, Action, Innovation, and Customer-Centric. Learn more about our company culture at www.watchguard.com/wgrd-careers.
WatchGuard provides equal employment opportunities for all qualified employees, regardless of their race, color, national origin, religion, ancestry, creed, pregnancy, age, sex, sexual orientation (including gender expression or identity), marital status, mental or physical disability, honorably discharged veteran or military status or any other category protected by federal, state or local laws. Our equal employment opportunity (or EEO) policy focuses solely on the talent, hard work, contributions, and actual results achieved by each WatchGuard employee and on the potential of employment candidates to make such contributions. We consider focusing on an employee's protected characteristics rather than on talent, hard work, and actual work results to violate our EEO policy. As an Equal Opportunity Employer, we are committed to a diverse workforce. WatchGuard participates in E-verify.
WatchGuard is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe are looking for a Senior Data Engineer to join our growing data platform team. You will own the design, build, and reliability of our cloud-native data lakehouse — from raw ingestion through to analytics-ready Gold tables. You will work closely with data analysts, analytics engineers, and product stakeholders to deliver trusted data at speed, while championing data quality and observability as first-class concerns.
This role sits at the intersection of data engineering and platform engineering — you will be expected to think in architectures, not just pipelines.
What You Will Do
Data Platform & Pipeline Engineering
▸ Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Apache Airflow, processing structured and semi-structured data across the Medallion architecture (Bronze → Silver → Gold).
▸ Implement incremental load patterns, change data capture (CDC), and event-driven ingestion to ensure data freshness across the platform.
▸ Build and optimise Snowflake data warehouse objects — tables, views, dynamic tables, streams, tasks, and stored procedures — for performance and cost efficiency.
▸ Develop modular, tested dbt models aligned to each Medallion layer, enforcing consistent naming conventions, documentation, and lineage across all transformations.
Data Quality & Observability
▸ Embed automated data validation at every Medallion layer using Elementary (dbt's observability layer), ensuring anomaly detection, freshness checks, and schema drift alerts are in place before data reaches consumers.
▸ Define and enforce data contracts between producers and consumers — row count checks, null rate thresholds, referential integrity, and value domain validation.
▸ Build and maintain data quality dashboards to give engineering and business stakeholders real-time confidence in platform health.
Azure Cloud Infrastructure
▸ Manage and optimise Azure Data Lake Storage Gen2 (ADLS) — folder structures, lifecycle policies, access tiers, and partition strategies.
▸ Build and maintain Azure Functions and Azure Logic Apps for lightweight event-driven processing, orchestration triggers, and operational automation.
▸ Manage secrets, credentials, and environment-specific configuration securely using Azure Key Vault — no hardcoded credentials in pipelines or code.
▸ Contribute to infrastructure-as-code practices for provisioning Azure data services (Terraform or Bicep preferred).
Collaboration & Delivery
▸ Translate ambiguous business requirements into well-defined data models and pipeline designs, working with analysts and stakeholders to validate assumptions before build.
▸ Participate in code reviews, enforce standards, and mentor junior engineers on data engineering best practices.
▸ Support CI/CD adoption for pipeline and dbt model deployment across Dev / Test / Prod environments.
What We Are Looking For
Must-Have
▸ Snowflake: Snowflake
– Advanced SQL — window functions, CTEs, recursive queries, query profiling
– Snowflake-native features: streams, tasks, snowpipe, dynamic tables, row-level security
– Virtual warehouse tuning and credit cost optimisation
▸ dbt + Elementary: dbt + Elementary
– Writing, testing, and documenting production dbt models
– Elementary integration for data observability and anomaly detection
– dbt incremental strategies, snapshots, and semantic layer
▸ Azure Cloud: Azure Cloud
– Azure Data Factory — pipeline authoring, triggers, parameterisation, linked services
– ADLS Gen2 — zone/folder design, lifecycle management, Parquet/Delta partitioning
– Azure Key Vault — secret management, managed identities
– Azure Functions / Logic Apps — event-driven triggers and lightweight automation
▸ Airflow: Airflow
– DAG authoring, task dependencies, XCom, sensors, and connection management
– Airflow deployment and monitoring in cloud-hosted environments
▸ Python: Python
– Data pipeline scripting, PySpark basics, REST API integration
– Unit testing pipeline logic and transformation functions
▸ Data Quality & Medallion Architecture: Medallion Architecture:
– Hands-on experience implementing Bronze / Silver / Gold Medallion architecture
– Data validation checks at each layer — not just at the final Gold layer
– Schema evolution handling and SCD Type 2 dimension management
▸ 4+ years of professional data engineering experience with at least 2 years on Azure cloud data platforms.
Nice-to-Have
▸ Exposure to Snowflake Cortex, dbt Semantic Layer, or Boomi Data Hub for AI-assisted data enrichment within pipeline layers.
▸ Experience integrating LLM-based quality checks or AI-assisted anomaly detection into data workflows.
▸ Familiarity with Microsoft Fabric and OneLake as a complementary or future-state platform.
▸ Knowledge of data mesh or data product thinking and how it maps to Medallion layer ownership.
▸ Experience with Terraform or Bicep for Azure infrastructure provisioning.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe are looking for a Senior Data Engineer to join our growing data platform team. You will own the design, build, and reliability of our cloud-native data lakehouse — from raw ingestion through to analytics-ready Gold tables. You will work closely with data analysts, analytics engineers, and product stakeholders to deliver trusted data at speed, while championing data quality and observability as first-class concerns.
This role sits at the intersection of data engineering and platform engineering — you will be expected to think in architectures, not just pipelines.
What You Will Do
Data Platform & Pipeline Engineering
▸ Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Apache Airflow, processing structured and semi-structured data across the Medallion architecture (Bronze → Silver → Gold).
▸ Implement incremental load patterns, change data capture (CDC), and event-driven ingestion to ensure data freshness across the platform.
▸ Build and optimise Snowflake data warehouse objects — tables, views, dynamic tables, streams, tasks, and stored procedures — for performance and cost efficiency.
▸ Develop modular, tested dbt models aligned to each Medallion layer, enforcing consistent naming conventions, documentation, and lineage across all transformations.
Data Quality & Observability
▸ Embed automated data validation at every Medallion layer using Elementary (dbt's observability layer), ensuring anomaly detection, freshness checks, and schema drift alerts are in place before data reaches consumers.
▸ Define and enforce data contracts between producers and consumers — row count checks, null rate thresholds, referential integrity, and value domain validation.
▸ Build and maintain data quality dashboards to give engineering and business stakeholders real-time confidence in platform health.
Azure Cloud Infrastructure
▸ Manage and optimise Azure Data Lake Storage Gen2 (ADLS) — folder structures, lifecycle policies, access tiers, and partition strategies.
▸ Build and maintain Azure Functions and Azure Logic Apps for lightweight event-driven processing, orchestration triggers, and operational automation.
▸ Manage secrets, credentials, and environment-specific configuration securely using Azure Key Vault — no hardcoded credentials in pipelines or code.
▸ Contribute to infrastructure-as-code practices for provisioning Azure data services (Terraform or Bicep preferred).
Collaboration & Delivery
▸ Translate ambiguous business requirements into well-defined data models and pipeline designs, working with analysts and stakeholders to validate assumptions before build.
▸ Participate in code reviews, enforce standards, and mentor junior engineers on data engineering best practices.
▸ Support CI/CD adoption for pipeline and dbt model deployment across Dev / Test / Prod environments.
What We Are Looking For
Must-Have
▸ Snowflake: Snowflake
– Advanced SQL — window functions, CTEs, recursive queries, query profiling
– Snowflake-native features: streams, tasks, snowpipe, dynamic tables, row-level security
– Virtual warehouse tuning and credit cost optimisation
▸ dbt + Elementary: dbt + Elementary
– Writing, testing, and documenting production dbt models
– Elementary integration for data observability and anomaly detection
– dbt incremental strategies, snapshots, and semantic layer
▸ Azure Cloud: Azure Cloud
– Azure Data Factory — pipeline authoring, triggers, parameterisation, linked services
– ADLS Gen2 — zone/folder design, lifecycle management, Parquet/Delta partitioning
– Azure Key Vault — secret management, managed identities
– Azure Functions / Logic Apps — event-driven triggers and lightweight automation
▸ Airflow: Airflow
– DAG authoring, task dependencies, XCom, sensors, and connection management
– Airflow deployment and monitoring in cloud-hosted environments
▸ Python: Python
– Data pipeline scripting, PySpark basics, REST API integration
– Unit testing pipeline logic and transformation functions
▸ Data Quality & Medallion Architecture: Medallion Architecture:
– Hands-on experience implementing Bronze / Silver / Gold Medallion architecture
– Data validation checks at each layer — not just at the final Gold layer
– Schema evolution handling and SCD Type 2 dimension management
▸ 4+ years of professional data engineering experience with at least 2 years on Azure cloud data platforms.
Nice-to-Have
▸ Exposure to Snowflake Cortex, dbt Semantic Layer, or Boomi Data Hub for AI-assisted data enrichment within pipeline layers.
▸ Experience integrating LLM-based quality checks or AI-assisted anomaly detection into data workflows.
▸ Familiarity with Microsoft Fabric and OneLake as a complementary or future-state platform.
▸ Knowledge of data mesh or data product thinking and how it maps to Medallion layer ownership.
▸ Experience with Terraform or Bicep for Azure infrastructure provisioning.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read Less