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Data Architect
Data ArchitectCynet Systems • Frisco, TX
Data Architect

Data Architect

Cynet Systems • Frisco, TX
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description:

Required Qualifications:
  • Master's in Computer Science or a related field.
  • 7+ years of experience in data engineering
  • Expertise in Azure.
  • Plus if expereinced in AWS as well.
  • Expertise in designing and architecting production-ready enterprise grade data pipelines.
  • Strong knowledge of Cloud services, NoSQL, Document DBs , including design, implementation, and optimization. (e.g. AWS open search or GCP Vertex AI, neo4j etc.
  • Mongo, Dynamo, CosmosDB etc.)
  • Expertise in designing, loading, and querying NoSQL.
  • Extensive experience in processing and leveraging unstructured data for data applications.
  • Strong programming skills in Python and knowledge of deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent communication skills and ability to explain complex technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
  • Experience designing multi cloud hybrid solutions.
  • Experience in building/designing autonomous AI agents
  • Knowledge of natural language processing (NLP) technologies.
  • Experience working with Snowflake data warehouse, particularly in AI/ML contexts.
  • Familiarity with the telecom industry and its specific data challenges and use cases is a big plus.
Key Responsibilities:
  • Hands-on experience designing and developing end-to-end data pipelines, from data ingestion to pipeline deployment and monitoring.
  • Lead the architecture and implementation of complex agentic frameworks, ensuring best practices in software engineering and data integrations.
  • Collaborate with cross-functional teams (Technology, Business, Platform etc.) to integrate data solutions into existing data products and services.
  • Stay at the forefront of GenAI advancements and incorporate new technologies and methodologies into our systems.
  • Mentor and guide junior data engineers and architects in best practices for development.
  • Design and implement optimized RAG architectures and pipelines.
  • Design and implement strategies for handling unstructured data in pipelines.
  • Integrate data pipelines with Snowflake data warehouse for efficient data processing and storage.
  • Build POCs to compare evaluate various emerging technologies around data and AI
  • Create prototypes to establish patterns.
Key Skills:
  • Snowflake, Databricks, Azure, DB Architecture.

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