Radio Systems Corporation
Principal Data Architect
PetSafe Brands is the world leader in pet products through our family of brands: Pet Safe Brand, Sport DOG Brand, Invisible Fence Brand, Kurgo and Premier Pet. We have an ambitious goal of touching over 21 million pets, people, and communities around the world each year. We serve a broad range of pet owners from providing the hunter the best gear for a successful hunt to accommodating the "Not-So-Crazy Cat Lady" with all the entertaining toys and effective solutions she could ever imagine. We do this by creating a culture of enthusiasm, resilience, adaptability, and teamwork every day in the office. We work hard to be our community's employer of choice as we all live our purpose: We exist to unleash freedom for pet parents by keeping their pets happy, healthy and safe. Summary of Position: The Principal Data Architect will design and implement the data architecture for our pet products platform. This leader will create a robust data ecosystem enabling advanced analytics, personalized recommendations, and data-driven insights for pet owners and our business. The architect will be responsible for data pipelines, storage solutions, and analytical frameworks that process data from commerce systems, IoT devices, and third-party integrations while ensuring data quality, security, and governance. Key Responsibilities
Data Architecture Design & Implementation Design and implement a comprehensive data architecture supporting transactional processing, analytics, and machine learning. Establish data architecture principles, patterns, and standards across the organization. Create and maintain data architecture documentation, including data models, flow diagrams, and specifications. Be able to write code to implement data processing pipelines, transformations, and analytics workflows. Data Pipeline & Processing Design scalable data integration patterns for collecting and processing data from diverse sources. Implement both batch and real-time data processing pipelines to support various business needs. Design streaming data architectures to process real-time IoT device telemetry and events. Architect data transformation processes to ensure data quality and consistency. Data Storage & Access Design a multi-tiered data storage architecture utilizing appropriate technologies for different data types across the organization. Implement data lake and data warehouse solutions that balance performance, cloud cost, and flexibility. Design dimensional and domain data models that support analytical and operational needs. Architect data access layers and APIs that provide secure, efficient access to data assets. Analytics & AI/ML Architecture Architect analytics platforms that enable self-service reporting, dashboarding, and advanced analytics. Design data marts and semantic layers that provide business-friendly views of complex data. Design infrastructure for training, deploying, and monitoring machine learning models. Implement data feedback loops to improve model performance and personalized recommendations continuously. Qualifications and Experience
10+ years of experience in data engineering leadership or architecture roles. Proven experience designing and implementing enterprise-scale data platforms and pipelines. Hands-on experience with cloud-based data services (AWS and/or Azure). Strong background in both batch and real-time data processing. Experience with IoT data processing and analytics. Track record of successfully delivering data solutions that drive business value. Skills and Competencies
Technical Expertise:
Deep knowledge of data architecture patterns, distributed data systems, and data processing frameworks (Python, SQL, Spark). Hands-On Development:
Ability to implement data pipelines and analytics solutions directly. Data Processing & Analytics:
Expertise in big data technologies and data warehouse solutions. AI/ML Knowledge:
Familiarity with machine learning pipelines and recommendation systems architecture. Data Governance & Security:
Knowledge of data governance frameworks and security best practices. Leadership:
Experience mentoring data engineers and analysts across the organization. Problem-Solving:
Outstanding analytical skills in balancing technical solutions with business requirements. Entrepreneurial Mindset:
A forward-thinking approach to data innovation and value creation. Benefits: Working for PetSafe Brands definitely has its benefits. We offer a collaborative and creative team-oriented work environment where we encourage you to take risks to learn and grow! We offer a competitive benefits package including medical, dental, vision, and 401K match. In addition we offer a rich wellness program which includes an onsite health clinic, workout facility and of course, we encourage you to bring your dog to work, which is our whole reason for what we do! PetSafe Brands is dedicated to offering equal employment opportunity for all teammates and fostering a work environment free of discrimination and harassment. At PetSafe Brand, our teammates are our greatest strength. We strive to build a workforce as diverse as the customers we serve by hiring great people from a wide variety of backgrounds, life experiences, knowledge, self-expression and talent. We recruit and reward teammates based on capability and performance and together we are building a culture that welcomes all dimensions of an individual's identity including race, color, gender identity or expression, sexual orientation, marital status, age, educational background, national origin or ancestry, religion, veteran status, or physical ability. We embrace these differences and the unique contributions each teammate brings not just because it is the right thing to do but because it makes our company stronger. While we are committed to creating a diverse and inclusive workplace and a culture of belonging, we recognize that we still have more work to do and a lot more to learn.
PetSafe Brands is the world leader in pet products through our family of brands: Pet Safe Brand, Sport DOG Brand, Invisible Fence Brand, Kurgo and Premier Pet. We have an ambitious goal of touching over 21 million pets, people, and communities around the world each year. We serve a broad range of pet owners from providing the hunter the best gear for a successful hunt to accommodating the "Not-So-Crazy Cat Lady" with all the entertaining toys and effective solutions she could ever imagine. We do this by creating a culture of enthusiasm, resilience, adaptability, and teamwork every day in the office. We work hard to be our community's employer of choice as we all live our purpose: We exist to unleash freedom for pet parents by keeping their pets happy, healthy and safe. Summary of Position: The Principal Data Architect will design and implement the data architecture for our pet products platform. This leader will create a robust data ecosystem enabling advanced analytics, personalized recommendations, and data-driven insights for pet owners and our business. The architect will be responsible for data pipelines, storage solutions, and analytical frameworks that process data from commerce systems, IoT devices, and third-party integrations while ensuring data quality, security, and governance. Key Responsibilities
Data Architecture Design & Implementation Design and implement a comprehensive data architecture supporting transactional processing, analytics, and machine learning. Establish data architecture principles, patterns, and standards across the organization. Create and maintain data architecture documentation, including data models, flow diagrams, and specifications. Be able to write code to implement data processing pipelines, transformations, and analytics workflows. Data Pipeline & Processing Design scalable data integration patterns for collecting and processing data from diverse sources. Implement both batch and real-time data processing pipelines to support various business needs. Design streaming data architectures to process real-time IoT device telemetry and events. Architect data transformation processes to ensure data quality and consistency. Data Storage & Access Design a multi-tiered data storage architecture utilizing appropriate technologies for different data types across the organization. Implement data lake and data warehouse solutions that balance performance, cloud cost, and flexibility. Design dimensional and domain data models that support analytical and operational needs. Architect data access layers and APIs that provide secure, efficient access to data assets. Analytics & AI/ML Architecture Architect analytics platforms that enable self-service reporting, dashboarding, and advanced analytics. Design data marts and semantic layers that provide business-friendly views of complex data. Design infrastructure for training, deploying, and monitoring machine learning models. Implement data feedback loops to improve model performance and personalized recommendations continuously. Qualifications and Experience
10+ years of experience in data engineering leadership or architecture roles. Proven experience designing and implementing enterprise-scale data platforms and pipelines. Hands-on experience with cloud-based data services (AWS and/or Azure). Strong background in both batch and real-time data processing. Experience with IoT data processing and analytics. Track record of successfully delivering data solutions that drive business value. Skills and Competencies
Technical Expertise:
Deep knowledge of data architecture patterns, distributed data systems, and data processing frameworks (Python, SQL, Spark). Hands-On Development:
Ability to implement data pipelines and analytics solutions directly. Data Processing & Analytics:
Expertise in big data technologies and data warehouse solutions. AI/ML Knowledge:
Familiarity with machine learning pipelines and recommendation systems architecture. Data Governance & Security:
Knowledge of data governance frameworks and security best practices. Leadership:
Experience mentoring data engineers and analysts across the organization. Problem-Solving:
Outstanding analytical skills in balancing technical solutions with business requirements. Entrepreneurial Mindset:
A forward-thinking approach to data innovation and value creation. Benefits: Working for PetSafe Brands definitely has its benefits. We offer a collaborative and creative team-oriented work environment where we encourage you to take risks to learn and grow! We offer a competitive benefits package including medical, dental, vision, and 401K match. In addition we offer a rich wellness program which includes an onsite health clinic, workout facility and of course, we encourage you to bring your dog to work, which is our whole reason for what we do! PetSafe Brands is dedicated to offering equal employment opportunity for all teammates and fostering a work environment free of discrimination and harassment. At PetSafe Brand, our teammates are our greatest strength. We strive to build a workforce as diverse as the customers we serve by hiring great people from a wide variety of backgrounds, life experiences, knowledge, self-expression and talent. We recruit and reward teammates based on capability and performance and together we are building a culture that welcomes all dimensions of an individual's identity including race, color, gender identity or expression, sexual orientation, marital status, age, educational background, national origin or ancestry, religion, veteran status, or physical ability. We embrace these differences and the unique contributions each teammate brings not just because it is the right thing to do but because it makes our company stronger. While we are committed to creating a diverse and inclusive workplace and a culture of belonging, we recognize that we still have more work to do and a lot more to learn.