Senior Data Architect

Responsibilities

• Data Architecture and Canonical Modeling
• Database and Data Store Strategy
• Streaming Data and Event-Driven Architecture
• Performance, Optimization, and Capacity Planning
• Data Warehousing, BI, and Reporting
• Ai-First Data Enablement
• Cross-Functional Leadership

Qualifications

• Strong hands-on experience with MySQL and PostgreSQL in production environments.
• Strong experience with MongoDB and document-oriented data modeling.
• Experience designing solutions across structured, semi-structured, and unstructured data stores.
• Required experience with caching solutions such as Redis, including cache design, invalidation, consistency, and performance tradeoffs.
• Required expertise in data modeling, canonical model definition, schema design, and database normalization/denormalization strategies.
• Required experience with database optimization, query tuning, indexing, partitioning, replication, and performance troubleshooting.
• Required experience designing and operating data streaming solutions, including event-driven architectures, stream processing patterns, event schema design, and real-time data pipeline reliability.
• Required experience with capacity planning for high-volume, production data systems.
• Required experience with data warehousing concepts, architectures, dimensional modeling, and analytical data design.
• Required experience with BI reporting solutions, semantic layers, dashboards, and reporting datasets.
• Ability to define scalable data models that support operational systems, analytics, integrations, and AI-enabled capabilities.
• AI-first mindset with a practical understanding of how data architecture enables AI, machine learning, retrieval, search, automation, and advanced analytics.
• Strong communication skills with the ability to explain complex data architecture decisions to technical and non-technical audiences.