• Work directly with application teams on data architecture for their applications and services • Design and review data architectures and models, aligning data ownership with team domain boundaries • Review application code and architecture with focus on data access patterns and performance • Evaluate and recommend data storage technologies (MongoDB, PostgreSQL, NoSQL, document stores, warehouses) • Optimize database performance: query tuning, indexing, execution plan analysis, resource management • Guide technology selection based on read/write patterns, data volumes, and access patterns • Define data access patterns: APIs, ORMs, event-driven architectures, replication strategies • Establish data replication and syndication strategies (CDC, event streaming, batch processing) • Guide data architecture for ML/LLM applications (vector databases, embeddings, RAG patterns) • Lead zero-downtime data migrations and infrastructure modernization • Hands-on troubleshooting and optimization of critical data systems • Establish data quality, monitoring, and observability standards • Lead knowledge sharing through workshops, documentation, and office hours

• Develop high-traffic websites • Build RESTful APIs • Implement, test, review, and document solutions • Collaborate with stakeholders to gather requirements • Troubleshoot operational issues • Integrate web services • Follow and improve processes including source control and deployment • Document solutions for knowledge sharing

• Work in a well-known on-premises application deployment platform • Create actionable steps on the road to building an outstanding product • Collaborate with a team of CTOs, engineers, and product professionals to address and overcome design and implementation challenges.

• Help build the backbone of our products • Work collaboratively with CTOs, Engineering, and Product professionals • Start creating actionable steps on the road to building an amazing product