Dynanet Corporation
Dynanet Corporation
Dynanet Corporation is a technology consulting firm that helps organizations modernize critical systems and improve how technology supports mission and business goals. Its work spans application services, cloud enablement, cybersecurity, DevSecOps, legacy-system modernization, robotic process automation, and human-centered design. Dynanet uses a 4D development methodology to connect IT investments with measurable organizational outcomes, tailoring solutions to the needs of clients including federal agencies and organizations in healthcare and logistics. The company combines structured delivery processes with close attention to people, collaboration, and the operational realities of each client.

Data Architect – Hybrid in Washington, DC

Design secure, scalable cloud database architectures for Dynanet Corporation’s enterprise, AI, and LLM workloads. Lead relational, NoSQL, and vector database strategy across end-to-end systems.

Description

  • Architect and implement cloud-native solutions using relational, NoSQL, and vector database technologies
  • Create and refine data models, schemas, indexes, and storage patterns for scale and performance
  • Build and operate vector databases for similarity search, recommendations, and AI inference
  • Partner with AI/ML, application, and platform engineering teams on integrated data systems
  • Maintain availability, disaster recovery, security, and compliance across database platforms
  • Improve cloud database cost efficiency, performance, and operational reliability
  • Set up monitoring, alerting, backups, and automation for database operations
  • Offer technical direction, documentation, and database best practices to engineering teams
  • Assess evolving requirements and recommend suitable database technologies and cloud services
  • Handle team and client requests through email, Microsoft Teams, or other channels during core business hours

Requirements

  • At least five years of hands-on experience designing and supporting database systems
  • Five to eight years of strong experience with relational databases such as PostgreSQL, MySQL, Oracle, SQL Server, or Amazon Aurora
  • Advanced SQL skills with a solid grasp of query optimization and performance tuning
  • Knowledge of data security, encryption, access controls, and compliance obligations
  • Ability to convert business and application needs into scalable data architectures
  • Experience applying DevOps or DataOps practices
  • Experience with LLM platforms, including OpenAI, Azure OpenAI, Amazon Bedrock, or Hugging Face
  • Experience designing high-throughput, low-latency systems
  • Hands-on experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or Couchbase
  • Practical experience with vector databases and similarity search, including Pinecone, Milvus, Weaviate, pgvector, or OpenSearch/Elastic vector search
  • Experience supporting AI and LLM applications involving embeddings, retrieval-augmented generation, and inference pipelines
  • Experience with AWS, Azure, and/or Google Cloud
  • Bachelor’s degree in computer science, information technology, or a related field
  • Strong written and verbal communication abilities
  • Highly organized and able to manage multiple competing priorities
  • Professional, collaborative communication with teammates, clients, and business partners
  • Sound judgment and creative problem-solving ability
  • Active listening and effective collaboration skills
  • Availability to respond to requests during core business hours

Benefits

  • Competitive industry compensation
  • Medical and dental insurance
  • Paid time off and holidays
  • 401(k) retirement plan with employer matching
  • Remote work options*
  • Paid training
  • Employee referral program
  • Employee development program

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