Senior Data Architect $$$

We're seeking an exceptional Data Architect to lead data storage strategy and design across our multi-product SaaS platform as we unify independent products into a coherent platform. This role combines strategic leadership with hands-on technical expertise—you'll shape our data architecture vision while getting into the details during implementation and troubleshooting.

Key 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.

Qualifications:
• 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.