Data Architect / Senior AI Data Engineer || Remote

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract W2
6 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Access Control
  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Architecture
  • Generative Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Snow Flake Schema
  • Extract, Transform, Load
  • aws bedrock
  • snowflake cortex

Summary

Required Qualifications

  • Approximately 10+ years of experience in data architecture, data engineering, software engineering, or related technology roles.
  • Senior-level experience designing and implementing enterprise data architectures.
  • Strong hands-on engineering background with the ability to contribute beyond high-level architecture.
  • Deep understanding of Artificial Intelligence, Machine Learning, Generative AI, and LLM architectures.
  • Strong hands-on experience with AWS Bedrock and building Generative AI solutions.
  • Strong expertise with Snowflake and modern cloud data architectures.
  • Hands-on experience with Snowflake Cortex and Snowflake AI/ML capabilities.
  • Experience architecting RAG-based AI solutions and connecting LLMs to enterprise data is highly preferred.
  • Experience designing cloud-native data and AI platforms within AWS.
  • Strong understanding of APIs, microservices, data integration, ETL/ELT, data pipelines, and distributed systems.
  • Experience working with both structured and unstructured data.
  • Strong understanding of enterprise data security, governance, privacy, and access controls.
  • Ability to communicate complex AI and data architecture concepts to both technical and non-technical stakeholders.

 

Core Technical Skills

  • AI / Generative AI: Generative AI, Large Language Models (LLMs), RAG, Prompt Engineering, AI Agents, Embeddings, Vector Search, AI/ML Architecture
  • AWS: AWS Bedrock, AWS Cloud Architecture, Generative AI Services
  • Snowflake: Snowflake, Snowflake Cortex, Snowflake AI/ML, Data Warehousing, Data Modeling
  • Data Engineering: ETL/ELT, Data Pipelines, Data Integration, Structured & Unstructured Data
  • Architecture: Enterprise Data Architecture, Cloud Architecture, AI Architecture, Solution Architecture, Microservices, APIs
  • Governance & Security: Data Governance, Data Security, Access Controls, Privacy, AI Governance

Ideal Candidate

The ideal candidate is not purely an architect. We are looking for someone who can define the architecture and also work hands-on with engineering teams to build and integrate the solution.

They should have strong practical experience with AWS Bedrock, Snowflake Cortex, Generative AI, LLM/RAG architectures, and enterprise data engineering, with the ability to bridge traditional data architecture and modern AI engineering.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91140717
  • Position Id: 9139686
  • Posted 2 hours ago
Contact the job poster
Ashish Joshi

Ashish Joshi

Recruiter @ AKAASA Technologies

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