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Snowflake Jobs in Houston, TX (NOW HIRING)

Staffingine LLC

Snowflake Architect

Houston, TX · On-site

$61 - $78.25/hr

Snowflake Architect Job Location: Houston, Texas Job Type: Full-Time * Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources. * Develop ...

Staffingine LLC

Snowflake Architect

Houston, TX · On-site

$61 - $78.25/hr

Snowflake Architect Job Location: Houston, Texas Job Type: Full-Time * Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources. * Develop ...

YO AI Labs

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 ...

YO AI Labs

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 ...

Sumeru Solutions

Snowflake DBT Developer

Houston, TX · On-site

$80/hr

RH ID 683543 DBT Snowflake developer Location Houston TX Day 1 onsite Pay Rate $80/hr Client ExxonMobil Global Services Company The "must have" are snowflake, Data modelling, SQL with dbt as a plus.

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How much do snowflake jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for snowflake in Houston, TX is $64.56, according to ZipRecruiter salary data. Most workers in this role earn between $57.16 and $73.22 per hour, depending on experience, location, and employer.

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.

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 the most commonly searched types of Snowflake jobs in Houston, TX? The most popular types of Snowflake jobs in Houston, TX are:
What are popular job titles related to Snowflake jobs in Houston, TX? For Snowflake jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Houston, TX look for? The top searched job categories for Snowflake jobs in Houston, TX are:
What cities near Houston, TX are hiring for Snowflake jobs? Cities near Houston, TX with the most Snowflake job openings:
Snowflake jobs near you
Infographic showing various Snowflake job openings in Houston, TX as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $134,289 per year, or $64.6 per hour.

Snowflake Architect

Staffingine LLC

Houston, TX • On-site

$61 - $78.25/hr

Full-time

Re-posted 21 days ago

Job description

Job Title: Snowflake Architect
Job Location: Houston, Texas
Job Type: Full-Time

Job Description:

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