Sr Business Intelligence Engineer at NetDocuments in Lehi, UT

NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to hrgroup@netdocuments.com so our team members can review. NetDocuments is the world’s #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. We strive to win together through passionate hard work, exploring new things and recognizing every interaction matters. NetDocuments provides rewarding career growth in an inclusive, diverse environment where employees are encouraged to openly contribute creative ideas and innovation, backed by supportive peers and leadership working together to achieve our goals as a unified team. At our core, we are dedicated to empowering our employees to drive successful business outcomes and better user experiences for our customers and partners. Our customer-centric approach and employee enablement has allowed us to enjoy many accolades, including being named among the 2022,  2023, & 2024 list of Inc. Magazine’s 5000 Fastest-Growing Private Companies in America. Other recent awards include: Five-time winner (2025, 2024, 2023, 2022, 2021) Top Workplace in the US by the Salt Lake Tribune Four-time winner (2025, 2023, 2022, 2021) Best Companies to Work for by Utah Business magazine Three-time winner (2025, 2023, 2022) Top Workplace Employee Appreciation and Employee Well-Being Three-time winner (2024, 2023, 2022) Top Workplace Work-Life Flexibility Three-time winner (2024, 2023, 2022) Top Workplace Compensation & Benefits Two-time winner (2024, 2023) National Top Workplaces Two-time winner (2024, 2023) Top Workplace Innovation 2025 Remote Work 2024 Technology Industry NetDocuments is a hybrid, remote-friendly workplace. Come join our team and work inspired each day! About the role We are seeking a highly skilled Senior BI Engineer to take ownership of our Snowflake data platform and help evolve it into a scalable, well-governed foundation for analytics and AI. This is a hands-on engineering role responsible for shaping data architecture, enforcing standards, and building a clean, reliable data layer that supports both business intelligence and AI-driven use cases. You will report directly to the Director of BI and have significant autonomy in how the platform evolves. What You’ll Do Own and Elevate the Data Platform Own the design and evolution of our Snowflake data platform end-to-end Refactor and enhance pipelines, dbt models, and transformations to meet high standards for scalability, performance, and maintainability Make and drive architectural decisions—not just implement tasks Architect for Scale and Clarity Implement and enforce medallion architecture (bronze/silver/gold) with clear separation of concerns Design and build dimensional models (star schemas) that are intuitive, performant, and durable Implement SCD Type 2 and other core warehousing patterns correctly and consistently Establish and enforce standards for schemas, naming, and data contracts Integrate and normalize data from a wide range of source systems (SaaS apps, operational databases, event streams, finance/CRM tools) into a coherent, well-modeled warehouse layer Build an AI-Ready Data Layer Design data models optimized for semantic clarity and AI/LLM consumption Implement semantic views in Snowflake to enable tools like Claude via MCP Ensure data is traceable, explainable, and trustworthy Establish a Real Data Engineering SDLC Implement a Git-driven development lifecycle (branching, PR reviews, testing, deployments) Introduce and enforce: Data quality testing and validation Schema enforcement and regression safeguards Clear promotion paths from dev → prod Raise the bar on engineering discipline across the data function Leverage AI as a Force Multiplier Use AI tools to accelerate development while maintaining high standards Guide and validate AI-generated code—never blindly trust it Explore agent-based approaches for: Data quality auditing Pipeline validation Anomaly detection and monitoring Collaborate and Lead Technically Partner with BI analysts to deliver reliable, well-modeled datasets (Power BI downstream) Translate ambiguous business requirements into clean, scalable data models Provide technical direction to a supporting QA/offshore resource (planned) Documentation & Transparency Build a culture of clear documentation, lineage, and data discoverability Ensure systems are understandable and maintainable by others Other duties as assigned What You’ll Need to be Successful Data Engineering Depth & Ownership 5+ years of hands-on data engineering experience, with a meaningful portion spent owning architecture and driving development — not just executing assigned tasks Strong experience with Snowflake as a primary warehouse Advanced SQL skills and experience building production-grade ELT pipelines Strong hands-on experience with dbt for modeling, testing, and transformation — including macros, tests, snapshots, and managing a production dbt project at scale Experience integrating and normalizing data from many disparate source systems — SaaS APIs, application databases, CRM/ERP, finance systems, event data — into consistent, analytics-ready models Deep, hands-on experience with: Star schemas and dimensional modeling SCD Type 2 implementations Layered/medallion architectures Ability to make tradeoffs and defend decisions (performance vs flexibility, normalization vs usability, etc.) Track record of improving data quality, consistency, and trust Experience implementing Git-based workflows and structured SDLC practices for data Strong instincts around testing, governance, and maintainability Comfortable setting and enforcing standards across a team AI-First Mindset Demonstrated ability to use AI tools to meaningfully increase output and velocity Strong judgment to validate and refine AI-generated work Interest in applying AI/agents to improve data engineering workflows What Will Make You Stand Out Familiarity with Power BI Familiarity with Salesforce as a data source (objects, schema, Salesforce-to-warehouse pipelines) Experience working with or leading offshore/support resources What You’ll Love About NetDocuments The People! 90% healthcare premiums company covered HSA company contribution 401K match at 4% with immediate vesting Flexible PTO (typically 3 to 4 weeks a year) 10 paid holidays Monthly contributions for life activities & wellness Access to LinkedIn learning with monthly dedicated time to explore Compensation Transparency The compensation range for this position is: $155,000-$165,000 The posted cash compensation for this position includes on target earnings, base salary and variable if applicable. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related #LI-HYBRID Equal Opportunity NetDocuments is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, individual qualifications, without regard to race, color, religion, sex, (including pregnancy), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity and/or expression, military and veteran status, or any other status protected by laws or regulations in the locations where we operate. NetDocuments believes diversity and inclusion among our employees is critical to our success, and we are committed to providing a work environment free of discrimination and harassment.