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Snowflake Jobs in Texas (NOW HIRING)

Title: Snowflake Architect or Data Architect (DATA ENGINEER WITH Snowflake) Location: Houston, TX (3 days onsite) Duration: Full Time Interview Mode: Video Experience: 12 - 18 Years Must-Have ...

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Snowflake Administrator (Snowflake Admin): Responsible for the day-to-day administration, security, performance, monitoring, and operational support of the Snowflake environment. 1. User & Access ...

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Snowflake Architect

Dallas, TX · On-site

$63 - $81/hr

We're looking for an experienced Snowflake Architect to join a leading client for an onsite opportunity in Dallas, TX. Requirements: Strong experience in Snowflake Architecture & Design Expertise in ...

Snowflake Platform Admin

Dallas, TX · On-site

$52.50 - $71.75/hr

Snowflake Platform Engineering • Design, deploy, and manage enterprise-scale Snowflake environments. • Build and maintain Snowflake platform standards, governance models, and operational ...

Snowflake Tech Lead "Architecture & Design * Design and implement end-to-end Snowflake-based data architectures for analytics, reporting, and advanced data use cases * Define data modeling strategies ...

Snowflake Architect

Dallas, TX · On-site

$63 - $81/hr

We're looking for an experienced Snowflake Architect to join a leading client for an onsite opportunity in Dallas, TX. Requirements: Strong experience in Snowflake Architecture & Design Expertise in ...

Snowflake Architect

Dallas, TX · On-site

$63 - $81/hr

We're looking for an experienced Snowflake Architect to join a leading client for an onsite opportunity in Dallas, TX. Requirements: • Strong experience in Snowflake Architecture & Design • ...

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer/only W2 Location: Austin, TX Onsite position Fulltime Position TCS/Apple JD: * Expert level fluency with Snowflake, SQL, Tableau, and Python is required.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they ...

PamTen Inc is seeking a Sr Snowflake Admin to manage and optimize the Snowflake platform. The role involves ensuring secure, scalable, and cost-efficient data platform operations while enabling AI ...

Snowflake Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Houston, TX or Allenstown, PA | Hybrid (3-Days Onsite) | Contract | Title - Snowflake Dev. This role will help build out the data platform foundation and then deliver business use cases through an ...

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Snowflake Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Snowflake Data Architect * Experience: 12-20 Years * Location: Houston, USA * Job Type: Full-Time Must Haves: * Strong Snowflake Data Architecture experience. * Data Governance & Metadata Management ...

Data Architect - Snowflake

Houston, TX · On-site

$61 - $78.25/hr

Snowflake Architect or Data Architect - Domain : Information technology (IT) Job Type : Full Time Location : Houston Experience : 12 - 18 Years Role Summary: We are looking for a Data Engineer to ...

Sr Snowflake Engineer

Houston, TX · On-site

$99K - $137K/yr

Building manual and automated pipelines in Snowflake, hands on experience with data models, performance optimization, access controls, data warehouse and data lakes, etc. Experience with ...

New

Data Architect - Snowflake

Houston, TX · On-site

$140 - $190/hr

Snowflake Architect or Data Architect - Domain : Information technology (IT) Job Type : Full Time Location : Houston Experience : 12 - 18 Years Role Summary: We are looking for a Data Engineer to ...

Snowflake Data Architect

Houston, TX · On-site

$130 - $180/hr

Snowflake Data Architect * Experience: 12-20 Years * Location: Houston, USA * Job Type: Full-Time Must Haves * Strong Snowflake Data Architecture experience. * Data Governance & Metadata Management ...

Showing results 21-40

Snowflake information

See Texas salary details

$33

$62

$79

How much do snowflake jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for snowflake in Texas is $62.99, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $71.44 per hour, depending on experience, location, and employer.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are the most commonly searched types of Snowflake jobs in Texas?

The most popular types of Snowflake jobs in Texas are:

What cities in Texas are hiring for Snowflake jobs?

Cities in Texas with the most Snowflake job openings:

Infographic showing various Snowflake job openings in Texas as of August 2026, with employment types broken down into 52% Full Time, and 48% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $131,010 per year, or $63 per hour.

Data Engineer Snowflake

MetaSense, Inc.

Houston, TX • On-site

Other

Posted 3 days ago

New


Job description

Title: Snowflake Architect or Data Architect (DATA ENGINEER WITH Snowflake)
Location: Houston, TX (3 days onsite)
Duration: Full Time
Interview Mode: Video 
 
Experience: 12 - 18 Years
 
 
Must-Have Requirements
1) Strong Snowflake Data Architecture experience – Data modeling, data warehouse/lakehouse design, performance optimization, security, access controls, and enterprise-scale Snowflake implementations.
2) Data Governance & Metadata Management expertise – Hands-on experience with data cataloging, metadata management, data lineage, data quality, governance frameworks, and policy-driven data access.
3) Understanding of Ontology & Semantic Modeling 
4) Working knowledge of AWS services such as S3, Glue, Lambda, Athena, EMR, Redshift, and cloud-based data architectures.
5) Oil & Natural Gas Midstream domain experience (Mandatory) – Experience supporting pipeline, transportation, storage, LNG, natural gas, or other midstream operations and data environments.
6) Claude AI / Generative AI experience (Mandatory) – Experience working with Claude, LLM-based solutions, AI-ready data platforms, RAG architectures, or GenAI implementations.
7) No job hoppers
 
Job Description
Focus: Snowflake, AWS, Iceberg, Data Governance, and Ontology-Driven Data Models
 
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.
 
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.
 
Ideal Candidate Profile: The ideal candidate is a hands-on Data Engineer who can build reliable pipelines and data products while also understanding the meaning and structure of enterprise data. They are comfortable working across Snowflake, AWS, Informatica, dbt, Iceberg, Snowflake Catalog, and Horizon, and can help connect technical implementation with business semantics, ontology, governance, and reusable data strategy.
They understand that data engineering is not only about moving data, but also about making data trusted, discoverable, governed, and meaningful across the enterprise.
 
 
ANSWER ME
 
Q2. Do you have direct professional experience working with Claude AI or other Large LanguageModel-based solutions in production environments?*
Q3. Do you have working knowledge of AWS services including S3, Glue, Lambda, Athena, EMR,and Redshift?
Q4. Which of the following best describes your experience with Snowflake security and accesscontrols?
Q5. What is your experience level with data lineage and data quality management?*
Q6. How would you describe your experience with Generative AI and RAG (Retrieval-AugmentedGeneration) architectures?
Q7. Which best describes your tenure history in previous roles?