Sr Business Intelligence Engineer

NetDocuments•Lehi, UT

1d•Hybrid

About The Position

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.

Requirements

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
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

Nice To Haves

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

Responsibilities

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