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Staff Database Engineer

Remote - US

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: 

  • Two-time winner (2024, 2023) National Top Workplaces
  • Two-time winner (2024, 2023) Top Workplace innovation
  • Three-time winner (2023, 2022, 2021) Top Workplace in the US by the Salt Lake Tribune
  • Three-time winner (2023, 2022, 2021) Best Companies to Work for by Utah Business magazine
  • Three-time winner (2024, 2023, 2022) Top Workplace Work-Life Flexibility
  • Three-time winner (2024, 2023, 2022) Top Workplace Compensation & Benefits
  • 2024 Cultural Excellence
  • 2024 Technology Industry 
  • 2023 Top Workplace Leadership
  • 2023 Top Workplace Purpose & Values
  • 2022 Top Workplace Employee Appreciation and Employee Well Being

NetDocuments is a hybrid, remote-friendly workplace. Come join our team and work inspired each day! 

What You’ll Do 

NetDocuments is seeking a Staff Database Engineer to provide enterprise-level technical leadership across our global data platform. In this highly impactful role, you will define technical strategy, architect complex multi-cloud systems, and drive multi-quarter initiatives that shape the reliability, scalability, and cost efficiency of data systems serving a global customer base. 

As a Staff Database Engineer focused on data, you will operate at the intersection of architecture, execution, and mentorship. You’ll remain deeply hands-on while setting standards, tackling ambiguous problems, and serving as a technical authority for data platform decisions. You’ll partner directly with leadership to translate business needs into durable technical roadmaps and guide the evolution of our data infrastructure across AWS and Azure. 

You will: 

Technical Leadership & Strategy 

  • Own the technical roadmap for data infrastructure across AWS and Azure multi-cloud environments. 
  • Drive architectural decisions for multi-region, cross-account data platforms supporting global operations. 
  • Establish engineering standards and best practices for data pipelines, database design, reliability, and observability. 
  • Lead incident post-mortems and drive systemic improvements that prevent entire classes of failures. 
  • Influence product and engineering roadmaps by identifying technical risks, constraints, and opportunities. 
  • Define capacity planning and cost optimization strategies to ensure performance, reliability, and financial efficiency at scale. 

System Architecture & Design 

  • Architect greenfield systems for large-scale data migrations (e.g., Couchbase to DocumentDB or DynamoDB at TB+ scale). 
  • Design fault-tolerant, self-healing data pipelines using AWS Glue, Step Functions, Lambda, ECS, and Azure Data Factory. 
  • Define data modeling strategies across Snowflake, PostgreSQL, DynamoDB, and DocumentDB in multi-region environments. 
  • Design observability into all systems, including monitoring, alerting, tracing, and debugging capabilities. 
  • Own backup and disaster recovery strategies, including RTO/RPO planning, PITR, and cross-region replication. 
  • Drive indexing, query optimization, and performance tuning for databases handling billions of documents. 
  • Architect security patterns covering IAM, secrets management, encryption at rest and in transit, and access controls. 

Cross-Team Impact & Collaboration 

  • Partner with the Director of Data Engineering on strategic planning, prioritization, and roadmap execution. 
  • Collaborate with senior leaders across Engineering, Product, and Analytics on enterprise technical strategy. 
  • Work across organizational boundaries to deliver initiatives requiring coordination across multiple teams and time zones. 
  • Translate business requirements into technical designs and clearly communicate trade-offs to non-technical stakeholders. 
  • Represent the data organization in architecture reviews and cross-functional technical planning forums. 

Hands-On Engineering Excellence 

  • Lead by example through hands-on development of critical systems, migrations, and infrastructure. 
  • Own and resolve complex production incidents affecting large-scale, distributed systems. 
  • Drive cloud-to-cloud, legacy-to-modern, and cross-region data migrations. 
  • Implement streaming and CDC solutions using Kafka, Kinesis, AWS DMS, and related technologies. 
  • Build automated data quality, validation, and testing frameworks. 
  • Optimize performance, reliability, and cost across critical workloads. 
  • Automate operational workflows using Python, Infrastructure as Code, and cloud-native tooling. 

Mentorship & Technical Development 

  • Mentor Senior and Data Engineers through code reviews, design reviews, and technical guidance. 
  • Raise the technical bar through documentation, standards, pairing, and knowledge sharing. 
  • Help engineers grow from mid-level to senior and senior to staff through intentional coaching. 
  • Promote a culture of operational excellence, including incident response, runbooks, and blameless post-mortems. 

 

What You’ll Need to Be Successful 

  • 7–10+ years of experience as a Data Engineer, Database Engineer, Platform Engineer, or similar role. 
  • Proven track record designing and owning large-scale, production data systems (TB+ scale). 
  • Deep expertise in Python and SQL for data operations and workflow orchestration. 
  • Expert-level experience with AWS services including Glue, Lambda, Step Functions, ECS, EC2, DynamoDB, and DocumentDB. 
  • Production experience with Azure data services such as Data Factory, Synapse, and Functions. 
  • Strong database expertise across relational, NoSQL, and analytical systems (Snowflake, PostgreSQL, DynamoDB, DocumentDB). 
  • Demonstrated experience leading major data migrations across clouds, regions, or legacy systems. 
  • Deep understanding of distributed systems concepts including replication, consistency, and partitioning. 
  • Advanced observability and monitoring experience using tools such as CloudWatch, Datadog, or Azure Monitor. 
  • Strong incident response experience, including leading production outages through resolution and post-mortem. 
  • Proven ability to drive technical initiatives across multiple teams through influence rather than authority. 
  • Excellent communication skills with the ability to explain complex technical concepts to engineers and executives alike. 

 

What Will Make You Stand Out 

  • Experience with Couchbase or similar distributed document databases. 
  • Experience operating large-scale, multi-tenant systems serving hundreds of customers. 
  • Background in document management, content platforms, or hierarchical storage systems. 
  • Experience with Infrastructure as Code (Terraform, CloudFormation, Bicep). 
  • CI/CD expertise for data engineering workflows. 
  • Experience with DBT, Coalesce, or similar data transformation frameworks. 
  • Familiarity with AI/LLM integration patterns, RAG architectures, or vector databases. 
  • Proven cloud cost optimization impact with measurable results. 
  • Technical writing, conference speaking, or open-source contributions. 

 

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: $159,000 - $191,900 

The posted cash compensation for this position includes on target earnings. 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 considerations. 

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. 

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