Primary Objective of Position
The data and analytics capabilities supporting Revelyst positioned in our Irvine, California office. This is a hands-on technical role responsible for developing and supporting data pipelines, data models, reporting solutions, and the underlying analytics environment that enables reliable business decision-making.
This position will serve as a key technical resource for the enterprise data ecosystem, working across enterprise platforms including ERP, CRM, e-commerce/B2B, custom applications, and other operational data sources. The role will partner closely with Finance, business analysts, application teams, and external technology partners to ensure data is accessible, reliable, appropriately governed, and structured for reporting and analytics.
The successful candidate will combine strong data engineering fundamentals, including hands-on Databricks and Spark experience, with working business intelligence experience and an interest in growing into broader data architecture and platform ownership responsibilities.
Key Responsibilities
- Design, develop, maintain, and support data pipelines and integrations across enterprise applications, APIs, databases, and cloud data platforms such as Databricks and Microsoft Fabric.
- Build and maintain scalable data models, transformations, and ETL/ELT processes that provide reliable, usable data for reporting and analytics.
- Implement pipeline orchestration, monitoring, alerting, and automated data-quality checks to keep production data flows reliable and observable.
- Develop and support Power BI datasets, semantic models, dashboards, and reports supporting Finance, Sales, Operations, Supply Chain, and other business functions.
- Monitor and support the Golf data and analytics environment, troubleshooting pipeline failures, reporting issues, performance problems, and data discrepancies.
- Identify data-quality and normalization issues and partner with business and application owners to improve data accuracy, consistency, and governance.
- Support and evolve the data architecture, including transitioning knowledge and ownership of the existing Microsoft Fabric environment from external partners.
- Partner with business analysts, application teams, and technology partners to translate business and reporting needs into scalable technical solutions.
- Identify opportunities to simplify and automate the data environment while helping build a foundation that supports future analytics, AI, and automation capabilities.
Minimum Qualifications
- 3+ years of experience in data engineering, business intelligence, analytics engineering, or a related technical role.
- Strong SQL skills and experience working with relational and analytical datasets.
- Experience with Git-based version control and engineering practices such as code review, CI/CD, and automated testing of data pipelines.
- Hands-on experience developing and supporting ETL/ELT pipelines, data transformations, and data models.
- Proficiency in Python for data engineering, transformation, and automation.
- Hands-on experience with Power BI, including data modeling, dashboards, reports, and semantic models.
- Experience working with a cloud data platform, data warehouse, lakehouse, or similar analytics environment.
- Experience integrating and working with data from multiple business systems, databases, APIs, or other data sources.
- Strong troubleshooting and problem-solving skills, including the ability to investigate data-quality, pipeline, reporting, and performance issues.
- Strong communication and collaboration skills with the ability to work effectively with both technical and business teams.
- Equivalent professional experience and demonstrated technical capability will be considered in place of formal education requirements.
Preferred Qualifications
- Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, or similar modern cloud data platforms.
- Experience integrating data from SAP or Oracle ERP, Salesforce CRM, e-commerce/B2B, and other enterprise business applications.
- Experience working with financial, sales, inventory, customer, supply chain, or other operational business data.
- Familiarity with Python or other scripting languages commonly used in data engineering and automation.
- Experience supporting production data and reporting environments, including monitoring, troubleshooting, and performance optimization.
- Exposure to data governance, data-quality management, AI/advanced analytics, or modern data architecture practices.
- Experience in working with Ecomm/subscriptions/software business model.
Key Soft Skills
- Strong analytical and problem-solving skills with a natural curiosity to understand how data, systems, and business processes connect.
- Proactive and resourceful, with the ability to independently investigate issues and drive solutions through completion.
- Strong attention to detail while maintaining an understanding of broader business objectives and priorities.
- Effective communicator who can translate technical concepts and data issues for both technical and non-technical stakeholders.
- Collaborative and comfortable partnering across business teams, application teams, analysts, and external technology partners.
- Adaptable and comfortable working across multiple priorities in a small, fast-moving technology environment.
#LI-BC1
Pay Range:
Annual Salary: $100,000.00 - $120,000.00The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer.
We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!
Our Postings are not intended for distribution to or use in any jurisdiction, country or territory where such distribution or use would violate local law or would subject us to any regulations in another jurisdiction, country or territory. We reserve the right to limit our Postings in any jurisdiction, country or territory.
Equal Opportunity Employer Protected Veteran/Disabled
Skills Required
- 3+ years of experience in data engineering, business intelligence, analytics engineering, or a related technical role.
- Strong SQL skills and experience with relational and analytical datasets.
- Experience with Git-based version control, code review, CI/CD, and automated data-pipeline testing.
- Hands-on experience developing and supporting ETL/ELT pipelines, data transformations, and data models.
- Proficiency in Python for data engineering, transformation, and automation.
- Hands-on experience with Power BI, including data modeling, dashboards, reports, and semantic models.
- Experience with a cloud data platform, data warehouse, lakehouse, or similar analytics environment.
- Experience integrating data from multiple business systems, databases, APIs, or other data sources.
- Strong troubleshooting and problem-solving skills involving data quality, pipelines, reporting, and performance.
- Strong communication and collaboration skills with technical and business teams.
- Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, or similar modern cloud data platforms.
- Experience integrating SAP or Oracle ERP, Salesforce CRM, e-commerce/B2B, and other enterprise business applications.
- Experience with financial, sales, inventory, customer, supply chain, or other operational business data.
- Experience supporting production data and reporting environments, including monitoring, troubleshooting, and performance optimization.
- Exposure to data governance, data-quality management, AI/advanced analytics, or modern data architecture practices.
- Experience working with an e-commerce, subscriptions, or software business model.
What We Do
OUR STORY Fox Racing is the global leader in motocross, mountain biking gear and apparel. We outfit the world’s best competitive athletes and enthusiasts with products that combine innovation, style, and rooted in the brand's original competitive motocross spirit. BORN FROM DIRT Before there was Fox Racing, there was a vision. Geoff Fox believed his high-performance suspension and engine components could give riders an on-track advantage. Driven to prove this on his terms, he founded team Moto-X Fox to compete against the might of the Japanese factory teams. The team quickly became the top non-factory riders in the competitive AMA 125 National Championship series, proving that the products he and his team designed and built were the best money could buy. FUELED BY PASSION Although we have expanded our activities and products into Mountain Bike, BMX, Surf and Wakeboard, the idea of elevating athletic performance through progressive innovation is still what drives us. From moto gear to apparel to outerwear, everything we make is developed with the rider in mind. No matter the terrain, the condition or the environment, Fox designs and engineers gear and apparel with the goal of making every ride a great one. THE ONLY CONSTANT IS CHANGE Inspired by our heritage, we continue to push limits, defy boundaries and pursue continuous innovation. With each success, we set a larger, more ambitious goal. Through the guidance and feedback of Fox's championship-winning athletes, we continue to maximize the experience of the world's best competitive action sports athletes and enthusiasts with an array of products that combines innovation and style. Fox employs over 500 people, in over 20 countries worldwide, and has a proud history of sponsoring some of the finest athletes. Our corporate headquarters is located in Irvine, California, in the heart of Orange County.
