Database Architect, Cloud, AI, LLM Platforms
Dynanet Corporation
full-time
Posted on:
Location Type: Remote
Location: Maryland • United States
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About the role
- Architect, design, and implement cloud-native database solutions across relational, NoSQL, and vector database technologies.
- Lead database strategy and standards to support AI/ML and LLM workloads, including embeddings, semantic search, and retrieval-augmented generation (RAG).
- Design and optimize data models, schemas, indexing strategies, and storage patterns for performance and scalability.
- Build and manage vector databases to support similarity search, recommendations, and AI inference pipelines.
- Collaborate with AI/ML engineers, application developers, and platform teams to integrate databases into end-to-end systems.
- Ensure high availability, disaster recovery, security, and compliance across all database platforms.
- Optimize cost, performance, and reliability in cloud environments.
- Implement monitoring, alerting, backup, and automation for database operations.
- Provide technical leadership, documentation, and best-practice guidance to engineering teams.
- Evaluate and recommend new database technologies and cloud services as requirements evolve.
Requirements
- 7+ years of hands-on experience designing and supporting enterprise-scale database systems
- Strong expertise in relational databases (e.g., PostgreSQL, MySQL, Oracle, SQL Server, Amazon Aurora)
- Hands-on experience with NoSQL databases (e.g., MongoDB, DynamoDB, Cassandra, Couchbase)
- Practical experience with vector databases and similarity search (e.g., Pinecone, Milvus, Weaviate, pgvector, OpenSearch/Elastic vector search)
- Experience supporting AI/LLM applications, including embeddings, RAG architectures, and inference pipelines
- Strong SQL skills and solid understanding of query optimization and performance tuning
- Experience with cloud platforms (AWS, Azure, and/or Google Cloud)
- Knowledge of data security, encryption, access controls, and compliance requirements
- Ability to translate business and application requirements into scalable data architectures.
Benefits
- Medical and Dental Insurance
- Paid Time Off/Holidays
- 401(k) Retirement Plans with Matching
- Remote Work*
- Paid Training
- Employee Referral Program
- Employee Development Program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud-native database solutionsrelational databasesNoSQL databasesvector databasesdata modelsschemasindexing strategiesSQLquery optimizationperformance tuning
Soft Skills
technical leadershipcollaborationdocumentationbest-practice guidance