1

Semantic Data Modeling Jobs in Houston, TX (NOW HIRING)

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

The role also carries a strong reporting and data-analysis focus - partnering with business users to build semantic data models, dashboards, and reports, and performing hands-on analysis to answer ...

Oversee data modeling, semantic modeling (LookML), and analytics-ready datasets for self-service reporting. * Partner with business stakeholders to translate requirements into scalable data solutions.

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Translate complex business problems into reusable data models, domain structures, semantic layers, and governed data assets that enable analytics, reporting, and AI outcomes. * Collaborate with other ...

Data Modeling, Integration & Governance * Design scalable, reusable, and well-structured semantic data models that can support future reporting requirements. * Integrate and transform data from ERP, ...

Snowflake Data Architect

Houston, TX · On-site

$61 - $78.25/hr

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 ...

Snowflake Data Architect

Houston, TX · On-site

$61 - $78.25/hr

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 ...

Data Architect - Snowflake

Houston, TX · On-site

$61 - $78.25/hr

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.

Data Architect - Snowflake

Houston, TX · On-site

$61 - $78.25/hr

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.

next page

Showing results 1-20

Semantic Data Modeling information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do semantic data modeling jobs pay per year?

As of Sep 15, 2026, the average yearly pay for semantic data modeling in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What are popular job titles related to Semantic Data Modeling jobs in Houston, TX?

For Semantic Data Modeling jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Semantic Data Modeling jobs in Houston, TX look for?

The top searched job categories for Semantic Data Modeling jobs in Houston, TX are:

What cities near Houston, TX are hiring for Semantic Data Modeling jobs?

Cities near Houston, TX with the most Semantic Data Modeling job openings:

Infographic showing various Semantic Data Modeling job openings in Houston, TX as of September 2026, with employment types broken down into 72% Full Time, 11% Part Time, and 17% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Senior Cloud Data Platform Engineer

Houston, TX • On-site

$101K - $137K/yr

Full-time

Re-posted 20 days ago


Job description

Confidential Opening – Senior Cloud Data Platform Engineer
Location: Houstan,Texas
 

Position Overview

A leading enterprise organization is seeking a highly skilled Cloud Data Platform Engineer to support the development and modernization of enterprise-scale data ecosystems. This role will focus on building trusted, scalable, and governed data solutions leveraging Snowflake, AWS, open table technologies, and semantic data modeling practices.

The ideal candidate combines strong hands-on engineering expertise with a deep understanding of data governance, metadata strategy, and business-aligned data architecture.

Core Responsibilities
  • Develop and maintain scalable data pipelines supporting structured, semi-structured, and unstructured data assets.

  • Design and optimize cloud-native data architectures utilizing Snowflake as the enterprise strategic data platform.

  • Build and support ingestion and extract-load workflows using enterprise integration technologies.

  • Create modular transformation frameworks and reusable data models using modern analytics engineering methodologies.

  • Work within AWS cloud environments to support enterprise data applications and integrated data services.

  • Support implementation of open table architectures including schema evolution, interoperability, and governed access patterns.

  • Contribute to enterprise metadata management, lineage, cataloging, policy enforcement, and governed data-sharing initiatives.

  • Partner with architects, governance teams, analysts, and business stakeholders to develop trusted and reusable data products.

  • Translate business terminology, domain concepts, and operational relationships into scalable logical and physical data models.

  • Support semantic and ontology-driven modeling initiatives including taxonomies, entity relationships, business glossaries, and semantic mapping frameworks.

  • Implement enterprise standards for data quality, observability, governance, security, and performance optimization.

  • Support AI-ready and analytics-driven use cases across enterprise applications and business intelligence platforms.

Required Qualifications
  • Strong experience in enterprise data engineering, cloud data platforms, ETL/ELT development, and data modeling.

  • Hands-on expertise with Snowflake including:

    • Warehouse/lakehouse architectures

    • Data modeling

    • Performance tuning

    • Security and access management

    • Enterprise-scale implementation patterns

  • Experience working within AWS cloud ecosystems and modern cloud-native architectures.

  • Experience with enterprise ingestion and integration tools such as Informatica or similar platforms.

  • Strong experience with dbt for transformation development, testing, documentation, and deployment workflows.

  • Understanding of Apache Iceberg or similar open table frameworks including schema evolution and managed table concepts.

  • Knowledge of metadata management, governance frameworks, data lineage, cataloging, and policy-based data access.

  • Familiarity with ontology concepts, semantic modeling, taxonomies, business glossaries, or knowledge graph frameworks.

  • Advanced SQL skills and experience with Python or related programming languages.

  • Strong stakeholder communication and documentation capabilities.

Preferred Qualifications
  • Experience with enterprise metadata and governance capabilities within Snowflake environments.

  • Experience building governed data products supporting analytics, AI, or operational applications.

  • Exposure to semantic technologies such as RDF, OWL, SHACL, SPARQL, or graph-oriented platforms.

  • Experience with CI/CD pipelines, Git-based workflows, automated testing, and deployment practices.

  • Familiarity with data observability, lineage monitoring, data contracts, and enterprise quality frameworks.

  • Prior experience working in large-scale, multi-domain enterprise data environments.