Business Intelligence Engineer at Taylor Made GolfCarlsbad, California, United States — full-time

The BI Data Engineer / Technical Engineer is a technical member of TaylorMade's dedicated Business Intelligence team within IT. This role sits within the Data Architecture practice and is primarily responsible for building and maintaining the data pipelines, integrations, and technical infrastructure that power TaylorMade's BI environment. The team prides itself on being innovative, agile, and responsive to the needs of their customers throughout the organization.

As this engineer develops a deep understanding of TaylorMade's data landscape and business processes, they will have natural opportunities to contribute to reporting and analytical projects in partnership with the Business Analysis team — building well-rounded expertise across both the technical and analytical dimensions of business intelligence.

Essential Functions and Key Responsibilities:

Design, develop, and maintain ETL/ELT processes and data pipelines that support BI reporting and analytics across Sales, Finance, Operations, and other business functions; evaluate and recommend data integration strategies and standards across these business functions, advising stakeholders on tradeoffs among competing architectural approaches

In partnership with senior team members, contribute to data integration projects connecting source systems to TaylorMade's data warehouse and BI environment

Support governance standards for BI environment operations, including system monitoring, maintenance, and performance optimization, following established procedures and escalating exceptions

Evaluate and Identify gaps or improvement opportunities in existing governance policies within the established governance policy, bringing recommendations to senior team.

Participate in the development and expansion of TaylorMade's BI data architecture in collaboration with the Lead BI Engineer (Data Architect), implementing solutions within an established architectural framework

Work with application owners to ensure expected BI outcomes are considered in application enhancements and modifications

Collaborate with senior team members and leaders on various BI projects

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Leverage AI-driven tools to accelerate ETL development, automate repetitive tasks, and enhance data pipeline reliability

Apply established data architecture standards to new integrations; identify and flag risks or proposed system changes for review by senior team members

Knowledge and Skills Requirements:

Strong SQL skills — ability to write, optimize, and troubleshoot complex queries across relational databases