Senior Database Engineer

NetDocuments

5d•Hybrid

About The Position

NetDocuments is seeking a Sr Database Engineer to provide senior-level technical leadership across our global, cloud-based data infrastructure. In this role, you will design, operate, and optimize highly scalable, secure, and resilient database systems spanning AWS and Azure, supporting enterprise-scale, geo-distributed workloads. This role is ideal for an engineer who thrives at the intersection of database architecture, distributed systems, and cloud data platforms. You will lead complex technical initiatives, influence architectural standards, and mentor other engineers while remaining deeply hands-on with production systems. Your work will directly impact the reliability, performance, and cost efficiency of NetDocuments’ data platforms.

Requirements

8+ years of professional experience as a Database Engineer, Data Engineer, Platform Engineer, or similar role.
Deep hands-on expertise with SQL and strong proficiency with Python for automation and tooling.
Extensive experience designing and operating databases on AWS (DynamoDB, DocumentDB, RDS/PostgreSQL, EC2, ECS).
Production experience with Azure database and data services (Cosmos DB, PostgreSQL, Azure Monitor).
Strong understanding of distributed systems concepts including replication, partitioning, consistency, and latency.
Proven experience designing global, multi-region database systems with data residency and compliance considerations.
Demonstrated expertise in query tuning, indexing strategies, capacity planning, and cost optimization.
Experience implementing monitoring, alerting, and observability for production database systems.
Strong communication skills and ability to collaborate effectively across teams.
Self-directed, analytical mindset with a focus on long-term system health and reliability.

Nice To Haves

Bachelor’s degree in Computer Science, Data Science, or equivalent experience.
Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Bicep.
Experience supporting large-scale, multi-tenant SaaS platforms.
Familiarity with CI/CD pipelines for database and data infrastructure changes.
Knowledge of data security, privacy laws, and compliance frameworks.
Experience with document management systems or hierarchical content storage.
Familiarity with AI/ML-adjacent data patterns (vector databases, RAG architectures).
Cloud certifications such as AWS Solutions Architect, AWS Data Analytics Specialty, or Azure Data Engineer Associate.

Responsibilities

Design, operate, and optimize global, multi-region database architectures across AWS and Azure.
Architect and manage relational, NoSQL, and document databases including Snowflake, PostgreSQL, DynamoDB, DocumentDB, Cosmos DB, and MongoDB.
Lead hands-on database migrations across cloud platforms (AWS ↔ Azure), legacy systems, and global regions.
Define and implement indexing strategies, query optimization techniques, and scaling patterns for large datasets and real-time workloads.
Tune databases for high availability, low latency, and cost efficiency at enterprise scale.
Support and optimize data ingestion and pipeline workflows built with AWS Glue, Step Functions, Lambda, ECS, and Azure Data Factory.
Partner with Data Engineering teams on streaming and CDC patterns using Kafka, Kinesis, or AWS DMS.
Develop and maintain secure API-based integrations and database connectivity patterns.
Implement database security best practices including IAM, secrets management, SSO, encryption at rest and in transit, and access controls.
Define and maintain backup and disaster recovery strategies including RTO/RPO planning and point-in-time recovery (PITR).
Implement robust observability for database systems using CloudWatch, Azure Monitor, Datadog, or similar tools.
Participate in on-call rotation and lead resolution of production database incidents with a strong ownership mindset.
Develop and maintain operational documentation including runbooks, playbooks, and architecture decision records (ADRs).
Partner with Engineering, Analytics, Product, DevOps, and Security teams to deliver reliable, scalable data solutions.
Communicate complex database and architectural concepts clearly to both technical and non-technical stakeholders.
Influence engineering standards and best practices through technical leadership and collaboration.
Mentor engineers through design reviews, code reviews, and hands-on guidance.