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Knowledge Graph Architect Jobs in Texas (NOW HIRING)

Trellix

Staff Software Engineer

Enterprise, TX · On-site

Architect and implement rigorous evaluation pipelines for agentic AI systems, including multi-step ... Knowledge Graph Evaluation: Develop methods to validate knowledge graph quality, coverage, and ...

Trellix

Staff Software Engineer

Enterprise, TX · On-site

Architect and implement rigorous evaluation pipelines for agentic AI systems, including multi-step ... Knowledge Graph Evaluation: Develop methods to validate knowledge graph quality, coverage, and ...

Prodapt

Senior AI/ML engineer

Richardson, TX · On-site

$94K - $130K/yr

Design and implement Knowledge Graph -based solutions to enhance contextual understanding ... Collaborate with business stakeholders, solution architects, and technical leads to translate ...

4MindsAI Inc.

Fullstack Software Engineer

Dallas, TX

$140K - $180K/yr

Architect scalable, maintainable systems that integrate with the 4MINDS knowledge graph, data pipeline, and AI services * Build and optimize RESTful and GraphQL APIs for internal and external ...

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

Experience implementing Graph RAG and knowledge graph solutions. * Experience with MCP (Model Context Protocol) architecture. * Experience deploying models using vLLM, Hugging Face, Triton, or ...

4MindsAI Inc.

Fullstack Software Engineer

Dallas, TX · On-site

$140K - $180K/yr

Architect scalable, maintainable systems that integrate with the 4MINDS knowledge graph, data pipeline, and AI services * Build and optimize RESTful and GraphQL APIs for internal and external ...

Geico

Staff Engineer - Applied AI

Dallas, TX

Architect, build, and deploy applied AI solutions across high-value enterprise workflows including ... and knowledge graph integration. * Ability to collaborate deeply across teams and co-create ...

Gene by Gene

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

... knowledge graphs -- schema and ontology design, a graph database, and at least one graph query ... architectural direction and technical guidance to existing engineering teams; senior IC influence ...

Ericsson

AI Model Architect

Austin, TX · On-site

You're comfortable with graph capture, XLA compilation, and StableHLO representations. You know ... related knowledge, qualifications, skills, education, training, and experience. Your Health ...

Gandiva Insights

Data Engineer - Palantir Must

Dallas, TX · On-site

$113K - $136K/yr

Demonstrated client-facing experience advising C-level executives, enterprise architecture teams ... Familiarity with ontology frameworks (RDF, OWL) or knowledge graph platforms (Neo4j, Stardog ...

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All JobsKnowledge Graph Architect JobsKnowledge Graph Architect Jobs in Texas

Knowledge Graph Architect information

What are Knowledge Graph Architects?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are some typical challenges Knowledge Graph Architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What are the key skills and qualifications needed to thrive as a Knowledge Graph Architect, and why are they important?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.
What are popular job titles related to Knowledge Graph Architect jobs in Texas? For Knowledge Graph Architect jobs in Texas, the most frequently searched job titles are:
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What cities in Texas are hiring for Knowledge Graph Architect jobs? Cities in Texas with the most Knowledge Graph Architect job openings:
Knowledge Graph Architect jobs near you

Hiring Snowflake Architect or Data Architect || Houston , TX (Onsite) || Fulltime

Key2Source INC

Houston, TX • On-site

$61 - $78.25/hr

Other

Posted 11 days ago

Job description

Job Role :- Snowflake Architect or Data Architect

Location :- Houston , TX (Fulltime- Onsite)

Experience Required 12-18 Years

Visa :- USCEAD/EAD/L2

Job Description

Role Summary

  • We are looking for a Data Engineer to help design, build, and scale a modern cloud data platform centered on Snowflake and AWS. The ideal candidate has strong data engineering fundamentals, experience with enterprise data platforms, and the ability to work with ontologies, semantic models, metadata, and governed data products.
  • This role will support strategic data initiatives using Snowflake, AWS, Iceberg managed tables, Snowflake Catalog, Snowflake Horizon, Informatica, and dbt. The Data Engineer will help create trusted, reusable data assets that support applications, analytics, AI, and business intelligence use cases.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources.
  • Develop data ingestion and extract-load processes using Informatica, aligning with enterprise standards and existing in-house capabilities.
  • Build transformation logic using dbt, including modular models, testing, documentation, and deployment workflows.
  • Design and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform.
  • Work with AWS-based data services and infrastructure, supporting applications and data products running in the organization's AWS environment.
  • Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns.
  • Use Snowflake Catalog and Snowflake Horizon to support metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing.
  • Collaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products.
  • Work with domain experts to understand business concepts, entities, relationships, and terminology.
  • Support ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings.
  • Translate business and domain concepts into logical data models, physical data models, and reusable data products.
  • Implement data quality checks, validation rules, lineage, observability, and governance controls.
  • Support data products and applications such as news intelligence, asset intelligence, analytics, and AI-enabled use cases.
  • Ensure data solutions meet enterprise requirements for security, privacy, access control, performance, and reliability.

Required Skills

  • Strong experience in data engineering, data modeling, ETL/ELT, and cloud data platform development.
  • Hands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns.
  • Experience working in AWS cloud environments.
  • Experience with Informatica or similar enterprise data integration platforms for extract-load and ingestion patterns.
  • Experience with dbt for data transformations, testing, documentation, and analytics engineering workflows.
  • Understanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog-based access.
  • Familiarity with data cataloging, governance, lineage, metadata management, and policy-driven data access.
  • Understanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts.
  • Strong SQL skills and experience with Python or another data engineering language.
  • Ability to work with business stakeholders to define data entities, relationships, metrics, and data product requirements.
  • Strong communication, documentation, and problem-solving skills.

Must-Have Requirements

  • Strong Snowflake Data Architecture experience Data modeling, data warehouse/lakehouse design, performance optimization, security, access controls, and enterprise-scale Snowflake implementations.
  • Data Governance & Metadata Management expertise Hands-on experience with data cataloging, metadata management, data lineage, data quality, governance frameworks, and policy-driven data access.
  • Understanding of Ontology & Semantic Modeling
  • Working knowledge of AWS services such as S3, Glue, Lambda, Athena, EMR, Redshift, and cloud-based data architectures.
  • Oil & Natural Gas Midstream domain experience (Mandatory) Experience supporting pipeline, transportation, storage, LNG, natural gas, or other midstream operations and data environments.
  • Claude AI / Generative AI experience (Mandatory) Experience working with Claude, LLM-based solutions, AI-ready data platforms, RAG architectures, or GenAI implementations.

Preferred Skills

  • Experience with Snowflake Catalog and Snowflake Horizon.
  • Experience building governed data products for analytics, AI, or application use cases.
  • Experience with enterprise governance tooling, especially Informatica governance capabilities.
  • Experience with RDF, OWL, SHACL, SPARQL, graph databases, or knowledge graph platforms.
  • Experience designing semantic layers, business glossaries, metadata models, or domain ontologies.
  • Experience with CI/CD, Git, automated testing, and deployment workflows for data pipelines.
  • Experience with data observability, lineage tracking, data contracts, and data quality frameworks.
  • Experience working in complex enterprise data environments with multiple systems, domains, and stakeholder groups.

Focus: Snowflake, AWS, Iceberg, Data Governance, and Ontology-Driven Data Models

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