Data Architect

NetDocuments•Lehi, UT

17h•Hybrid

About The Position

NetDocuments is seeking a Data Architect to lead the design and evolution of our enterprise data platform as we scale our legal document management solutions. In this role, you will define the architecture that powers how billions of documents are stored, processed, and surfaced, ensuring scalability, reliability, and security in a highly regulated environment. You will operate at the intersection of cloud transformation, large-scale distributed systems, and data governance, partnering closely with Engineering, Product, Security, and leadership to drive strategic data initiatives across the organization.

Requirements

10+ years of experience in data engineering, database engineering, or data architecture roles.
Strong experience designing and scaling large-scale NoSQL databases such as Couchbase, DynamoDB, or similar technologies.
Deep expertise in building cloud-native data platforms on AWS.
Experience leading complex on-premises to cloud migration initiatives.
Hands-on experience with event-driven architectures using Kafka, SQS, SNS, or similar technologies.
Experience with modern data platforms such as Snowflake or comparable data warehouses/lakes.
Strong understanding of distributed systems, scalability, and performance optimization.
Ability to evaluate complex architectural tradeoffs and make sound technical decisions.
Excellent communication skills, with the ability to translate complex concepts to both technical and non-technical stakeholders.
Bachelor’s degree in Computer Science or equivalent practical experience.

Nice To Haves

Experience in legal technology, SaaS, or other regulated industries.
AWS certifications such as Solutions Architect Professional or Database Specialty.
Experience with infrastructure-as-code tools such as Terraform or CDK.
Proven experience designing enterprise-scale data governance and compliance frameworks.

Responsibilities

Lead Data Architecture & Cloud Transformation: Define and drive the architectural strategy for migrating large-scale, on-premises data systems to AWS, including re-platforming and re-architecture efforts. Establish migration patterns, data residency strategies, and cutover plans that minimize risk and downtime. Design and evolve cloud-native data architectures that support long-term scalability and performance.
Own Scalable Data Platforms: Lead the architecture of large-scale NoSQL data systems, including Couchbase, DynamoDB, and related technologies. Oversee the design and governance of our Snowflake-based data platform, including data modeling, ingestion pipelines, and access patterns. Ensure systems are optimized for performance, reliability, and cost efficiency at scale.
Build Event-Driven Data Systems: Architect and implement event-based data infrastructure using technologies such as Kafka, SQS, and SNS. Define standards for event schema design, topic management, consumer patterns, and data lineage. Enable reliable, scalable, and observable data flows across distributed systems.
Drive Data Governance & Security: Establish and enforce data governance standards, including classification, access controls, encryption, retention, and auditability. Ensure alignment with regulatory frameworks such as SOC 2 Type II and HIPAA. Partner with Security teams on threat modeling and risk mitigation for data infrastructure.
Influence Strategy & Execution: Lead architectural reviews, RFC processes, and documentation standards. Partner with engineering leadership to influence roadmap prioritization through data-driven insights. Represent the data platform in cross-functional planning and executive-level discussions.