Sr Business Intelligence Engineer

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 @ domain. If you have any concerns or questions about communications you have received please send them tomso our team members can review.

NetDocuments is the worlds #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& 2024 list of Inc. Magazines 5000 Fastest-Growing Private Companies in America.

Other recent awards include:

• Five-time winner () Top Workplace in the US by the Salt Lake Tribune
• Four-time winner () Best Companies to Work for by Utah Business magazine
• Three-time winner () Top Workplace Employee Appreciation and Employee Well-Being
• Three-time winner () Top Workplace Work-Life Flexibility
• Three-time winner () Top Workplace Compensation & Benefits
• Two-time winner () National Top Workplaces
• Two-time winner () 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 areseekinga 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 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 will report directly to the Director of BI and have significant autonomy in how the platform evolves.

WhatYoullDo

Own and Elevate the Data Platform

• Own the design and evolution of our Snowflake data platform end-to-end
• Refactor and enhance pipelinesdbtmodels and transformations to meethigh standardsfor scalability performance and maintainability
• Make and drive architectural decisionsnot 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 modelsoptimizedfor 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

Establisha RealData Engineering SDLC

• Implement a Git-driven development lifecycle (branching PR reviews testing deployments)
• Introduceand 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 whilemaintaininghigh standards
• Guide andvalidateAI-generated codenever 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

WhatYoullNeed to be Successful

Data Engineering Depth & Ownership

• 5 years of hands-on data engineering experience with a meaningfulportionspent 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 withdbtfor modeling testing and transformation including macros tests snapshots and managing a productiondbtproject 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 recordof 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 tovalidateand 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

WhatYoullLove AboutNetDocuments

• 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)
• 10paid holidays
• Monthly contributions forlife activities &wellness
• Access to LinkedIn learning with monthly dedicated time to explore

Compensation Transparency

The compensation range for this position is: $155000-$165000

The posted cash compensation for this positionincludesontarget earnings basesalaryandvariableif applicable. Some roles may qualify for overtime pay. Individual compensation packages aredeterminedbased onvarious factorsspecific 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.