NetDocuments · 17 hours ago
Staff Database Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$159K/yr - $192K/yr
7+ years expNetDocuments is the world’s #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. The Staff Database Engineer will provide enterprise-level technical leadership across the global data platform, defining technical strategy and architecting complex multi-cloud systems to ensure reliability, scalability, and cost efficiency.
Cloud Data ServicesEmailEnterprise SoftwareSaaSSoftware
Responsibilities
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
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
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
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
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
Qualification
Required
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
Preferred
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
Benefits
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
Company
NetDocuments
NetDocuments enables businesses of all sizes to create, secure, manage, access, and collaborate on documents and email anywhere, any time.
201-500 employees
H1B Sponsorship
NetDocuments has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
2023 (2)
2022 (2)
2021 (1)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$30MKey Investors
Warburg PincusCove Hill PartnersFrontier Growth
2021-05-25Secondary Market
2019-05-14Secondary Market
2017-03-02Acquired
Leadership Team
Josh Baxter
CEO
Kenneth Duncan
CEO
Recent News
Columbia West
2025-12-13
2025-11-25
Company data provided by crunchbase