Magnet ForensicsRemote
Data Architect (Distributed Systems Engineering)
United States
Full Time
4 hours ago
$195,000 - $245,000 USD
No H1B
Key skills
AWS OpenSearch/ElasticsearchData architecture experienceRelational databasesNoSQL databasesCloud knowledgeSaaS experienceInfluence without authorityMentorshipNoSQLAIData WarehousingAWSAzureGCPKubernetesS3DynamoDBRDSPostgreSQLMySQLMongoDBRedisElasticsearchSaaSLeadership
About this role
Magnet Forensics is a global leader in developing digital investigative software that aids in modernizing digital investigations. They are seeking a Data Architect to lead data storage strategy and design across their multi-product SaaS platform, focusing on unifying independent products into a coherent platform while providing strategic leadership and hands-on technical expertise.
Responsibilities:
- Drive data architecture unification across multiple SaaS products, creating coherent patterns while respecting product needs
- Partner with vertical technical leads to provide horizontal architectural support and alignment
- Design and optimize data storage across multiple technologies—AWS OpenSearch/Elasticsearch, relational databases, S3, NoSQL, and data warehousing
- Optimize for performance and resilience— indexing, querying, high availability, redundancy, and disaster recovery at scale
- Support AI initiatives—partner with our AI specialist team on data architecture for AI capabilities
- Bring clarity from ambiguity—translate complex challenges into clear architectural direction
- Build capability, not dependencies—mentor engineers so teams become more self-sufficient
- Balance performance, cost, and reliability across our platform
Requirements:
- Deep expertise in AWS OpenSearch/Elasticsearch—you've solved hard problems at scale with indexing, querying, and performance
- Broad data technology experience—relational databases (e.g. PostgreSQL, MySQL, RDS), object storage (S3), NoSQL (e.g. DynamoDB, MongoDB, Redis), data warehousing
- Cloud and container knowledge—AWS preferred (Azure/GCP also valued); understand stateful services in Kubernetes
- Proven platform architecture experience—track record of driving technical strategy across multiple teams or products at scale
- Senior-level maturity—you make those around you better through mentorship and capability building
- Influence without authority—you work effectively across teams, bring clarity from ambiguity, and think strategically
- SaaS experience—comfortable with multi-tenant environments and operational excellence