Dynanet Corporation · 14 hours ago
Database Architect (Cloud, AI & LLM Platforms)
Dynanet Corporation is a trusted partner for organizations looking to innovate boldly and transform seamlessly in the digital landscape. They are seeking an experienced Database Architect to design, build, and optimize cloud-based data platforms that support traditional enterprise workloads as well as modern AI and Large Language Model applications.
GovernmentInformation TechnologyIT Infrastructure
Responsibilities
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
Qualification
Required
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
Bachelor's degree in Computer Science, Information Technology, or related field
Preferred
Experience with LLM platforms (e.g., OpenAI, Azure OpenAI, Amazon Bedrock, Hugging Face)
Familiarity with data pipelines, streaming, or analytics platforms (e.g., Kafka, Spark, Snowflake, BigQuery)
Infrastructure-as-Code experience (Terraform, CloudFormation, ARM)
Experience with DevOps or DataOps practices
Background in designing high-throughput, low-latency systems
Cloud certifications (AWS, Azure, or GCP) are a plus
Benefits
Industry Competitive Compensation
Medical and Dental Insurance
Paid Time Off/Holidays
401(k) Retirement Plans with Matching
Remote Work*
Paid Training
Employee Referral Program
Employee Development Program
Company
Dynanet Corporation
Dynanet Corporation offers IT solutions to government agencies and private businesses.
H1B Sponsorship
Dynanet Corporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)
2022 (1)
Funding
Current Stage
Growth StageRecent News
2025-07-14
Company data provided by crunchbase