Dynanet Corporation
Dynanet Corporation
Dynanet Corporation एक प्रौद्योगिकी परामर्शदाता कंपनी है, जो संगठनों को महत्वपूर्ण प्रणालियों को आधुनिक बनाने और यह बेहतर करने में सहायता करती है कि प्रौद्योगिकी उनके मिशन तथा व्यावसायिक लक्ष्यों का किस प्रकार समर्थन करती है। इसका कार्य अनुप्रयोग सेवाओं, क्लाउड सक्षमीकरण, साइबर सुरक्षा, DevSecOps, विरासत प्रणालियों के आधुनिकीकरण, रोबोटिक प्रक्रिया स्वचालन और मानव-केंद्रित डिज़ाइन तक विस्तृत है। Dynanet संगठनों के लिए मापनीय परिणामों के साथ आईटी निवेशों को जोड़ने हेतु 4D विकास पद्धति का उपयोग करती है और संघीय एजेंसियों तथा स्वास्थ्य सेवा और लॉजिस्टिक्स क्षेत्र के संगठनों सहित ग्राहकों की आवश्यकताओं के अनुसार समाधान तैयार करती है। कंपनी प्रत्येक ग्राहक के लोगों, सहयोग और परिचालन संबंधी वास्तविकताओं पर करीबी ध्यान देते हुए संरचित सेवा-प्रदाय प्रक्रियाओं को अपनाती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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