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Contract Collibra Developer Jobs (NOW HIRING)

SOSi

Data Layer Engineer with Security Clearance

Miami, FL · On-site

$109K - $131K/yr

This position is contingent upon contract award** * Design and manage a modular data layer ... Experience with tools such as such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or ...

VBeyond

ETL Architect

Chicago, IL · On-site

Type: Contract * Location: Chicago IL We are seeking a seasoned ETL Architect to design and lead ... Lead and mentor ETL/ELT developers in building robust pipelines. * Establish data quality ...

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Contract Collibra Developer information

What is the difference between Contract Collibra Developer vs Contract Data Analyst?

AspectContract Collibra DeveloperContract Data Analyst
Required CredentialsCollibra certifications, SQL, data management skillsData analysis certifications, SQL, Excel proficiency
Work EnvironmentData governance platforms, collaboration toolsData reporting tools, spreadsheets, databases
Employer & Industry UsageFinancial, healthcare, and tech sectors using CollibraVarious industries focusing on data insights and reporting

The Contract Collibra Developer primarily focuses on implementing and maintaining Collibra data governance tools, requiring specific platform knowledge. In contrast, a Contract Data Analyst emphasizes analyzing data sets and generating reports, often using different tools. Both roles require strong SQL skills but differ in platform expertise and daily tasks, catering to different aspects of data management and analysis.

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Infographic showing various Contract Collibra Developer job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 1% Temporary, and 24% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Agentic AI / Semantic Solutions Architect

TekDallas

Atlanta, GA • On-site

Other

Posted 6 days ago

Job description

Job Title: Agentic AI / Semantic Solutions Architect
Location: Atlanta, GA (Hybrid)
Duration: Long Term Contract

Job Summary

We are seeking an experienced Agentic AI / Semantic Solutions Architect to design and develop AI-powered solutions leveraging Large Language Models (LLMs), Knowledge Graphs, Semantic Technologies, and GraphRAG architectures. The ideal candidate will have strong experience building AI agents, semantic search solutions, metadata-driven systems, and enterprise AI applications using modern AI frameworks and cloud technologies.

Responsibilities
  • Design and implement Agentic AI and multi-agent architectures for enterprise applications.
  • Develop GraphRAG solutions combining vector search and knowledge graph retrieval.
  • Build AI workflows using LangChain, LangGraph, LlamaIndex, AutoGen, or similar frameworks.
  • Design semantic data models, ontologies, metadata frameworks, and knowledge graphs.
  • Develop prompt engineering and context management strategies for LLM applications.
  • Integrate AI solutions with enterprise data platforms and APIs.
  • Build and optimize vector search and semantic retrieval systems.
  • Collaborate with business and technical teams to deliver AI-driven solutions.
  • Create proof-of-concepts and scalable AI architectures.
  • Ensure AI solutions follow security, governance, and best practices.
Required Skills
  • 10+ years of overall IT experience.
  • Strong experience with Agentic AI, Generative AI, and Large Language Models (LLMs).
  • Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, or similar AI frameworks.
  • Experience with Retrieval-Augmented Generation (RAG) and GraphRAG architectures.
  • Strong understanding of Knowledge Graphs, Ontologies, Semantic Modeling, and Metadata Management.
  • Experience with Prompt Engineering and Context Engineering.
  • Knowledge of Model Context Protocol (MCP).
  • Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, pgvector, or Vertex AI Vector Search.
  • Programming experience in Python.
  • Experience with REST APIs, microservices, and cloud platforms.
  • Strong understanding of NLP, Machine Learning, and AI solution architecture.
  • Experience with Git, CI/CD, and Agile methodologies.
Preferred Skills
  • Experience with Google Cloud Platform (Google Cloud Platform) and Vertex AI.
  • Knowledge of Spanner Graph, Dataplex, or Collibra.
  • Experience with Neo4j, RDF, SPARQL, Graph Databases, and Semantic Web technologies.
  • Experience in Financial Services, Banking, Insurance, or regulated industries.
  • Knowledge of AI governance, security, and compliance frameworks.

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