The Motley Fool - Senior Business Intelligence Engineer

• The Business Intelligence Engineer plays a vital role in driving our data and analytics infrastructure forward. You will partner closely with data engineers, analysts, product managers, and business stakeholders to architect robust data models, streamline transformation layers, and deliver high-impact insights. This role is ideal for a builder who is fluent in both data architecture and analytics, and who thrives in a fast-paced environment where they can guide data strategy. • Okay, but what will you actually do in this role? • Serve as a senior BI partner for the Product team, owning data architecture, guiding data strategy, pipeline reliability, and the analytics engineering roadmap in support of business unit goals. • Serve as a senior BI partner • Collaborate and consult directly with business teams to understand their strategy, economics, and goals, translating business questions into analytical frameworks. • Collaborate and consult directly with business teams • Design, build, and maintain scalable data pipelines and transformation layers (such as dbt models and ELT workflows) that power dashboards, reports, and ML features. • Design, build, and maintain scalable data pipelines • Develop and maintain data marts, semantic layers, and self-serve tooling that empowers internal stakeholders to make smarter, faster decisions. • Develop and maintain data marts • Partner with analysts and product managers to instrument, design, and support A/B testing frameworks and experimentation infrastructure. • Partner with analysts and product managers • Monitor data pipeline health by proactively identifying data quality issues and implementing robust observability and alerting frameworks. • Monitor data pipeline health • Work closely with data governance and data engineering to ensure data quality, lineage, and strict compliance with organizational standards. • Work closely with data governance and data engineering • Champion engineering best practices including peer code reviews, CI/CD for data pipelines, version control, and documentation standards. • Champion engineering best practices • Stay informed about emerging trends in data science, analytics engineering, and the modern data stack. • Stay informed • You Might Be a Good Fit If You: • Are deeply curious and love to learn. You enjoy digging into systems to understand how they work and thrive when solving a hard infrastructure or data modeling problem. • Are deeply curious and love to learn. • Value high-performance, cross-functional collaboration and approach stakeholders with a consultative mindset to communicate timelines, trade-offs, and technical constraints clearly. • Value high-performance, cross-functional collaboration • Consider yourself both a builder and a scientist, capable of designing systems that are both technically rigorous and business-oriented, with the ability to tell powerful stories through data. • Consider yourself both a builder and a scientist • Take proactive ownership of data platform reliability, ensuring that pipelines and data models remain accurate, highly performant, and durable. • Take proactive ownership of data platform reliability • Thrive on asking "why" and are constantly looking for ways to make data platform architectures more reliable and impactful. • Thrive on asking "why"