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Snowflake Jobs in Florida (NOW HIRING)

Nastech Global

Database Developer

Tampa, FL · On-site

Familiarity with relevant Python libraries for database connectivity (e.g., psycopg2, pymongo, snowflake-connector-python * Mandatory hands-on experience with MongoDB: Designing schemas, writing ...

Apex Informatics

Data Warehouse Analyst

Tallahassee, FL · On-site

Extensive experience with Informatica IICS Cloud Data Integration tools and Snowflake is preferred. Primary Job Duties/ Tasks 1.Strong Data Integration and Data Warehousing experience with Snowflake ...

Empiric

Account Executive

Tampa, FL · On-site

$300K/yr

Haven't heard of Snowflake yet? You will. It's the leading AI Data Cloud platform, powering AI for 11,000+ companies worldwide, and it's not slowing down - $1.39B in revenue last quarter alone ...

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How much do snowflake jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for snowflake in Florida is $50.52, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $57.31 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 Florida?

The most popular types of Snowflake jobs in Florida are:

What are popular job titles related to Snowflake jobs in Florida?

For Snowflake jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Snowflake jobs in Florida look for?

The top searched job categories for Snowflake jobs in Florida are:

What cities in Florida are hiring for Snowflake jobs?

Cities in Florida with the most Snowflake job openings:

Snowflake jobs near you
Infographic showing various Snowflake job openings in Florida as of August 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $105,085 per year, or $50.5 per hour.

Snowflake data architect contract C2C in Tampa FL

Tech Mirrors

Tampa, FL • On-site

$120 - $150/hr

Other

Posted 3 days ago

New

Key responsibilities

  • Design and implement enterprise-scale data architectures on Snowflake, including data modeling and medallion architecture layers.

  • Define standards and best practices for data platform architecture, data modeling, and data transformation frameworks.

  • Lead the development of data transformation pipelines, data governance frameworks, and stakeholder engagement activities.

Job description

Data Architect Snowflake Medallion Architecture

Location Tampa FL Onsite

Role Overview

We are seeking an experienced Data Architect to lead the design and implementation of enterprisescale data platforms on Snowflake with strong expertise in data modeling and medallion architecture Bronze Silver Gold layers

The role will drive endtoend data architecture governance and solution design ensuring scalable secure and businessaligned data products across domains

Key Responsibilities
  1. Enterprise Data Architecture

    Define and implement endtoend data architecture strategy aligned to business objectives

    Design scalable secure and costefficient Snowflakebased architectures AI upskillion Status Meeting

    Establish reference architecture standards and best practices for data platforms

  2. Data Modeling Semantic Layer

    Lead design of enterprise data models conceptual logical physical

    Define dimensional models starsnowflake schema conformed dimensions and KPIs

    Build and govern semantic layers for analytics BI and AI consumption

  3. Medallion Architecture Ownership

    Architect and define Bronze Silver and Gold layers for multiple data domains

    Design data transformation frameworks STTM and reusable data products

    Establish standards for

    Data ingestion Bronze

    Data cleansing harmonization Silver

    Businessready curated datasets Gold

  4. Snowflake Platform Architecture

    Architect Snowflake solutions leveraging

    Virtual Warehouses RBAC data sharing

    Data governance and security features masking rowlevel access AI upskillion Status Meeting

    Define performance scalability and cost optimization strategies

  5. Data Engineering ETLELT Strategy Mandatory Tools

    Define architecture for scalable ETLELT pipelines using IICS and DBT mandatory

    Establish DBTbased transformation frameworks across Bronze Silver Gold layers

    Design integration patterns using Informatica Intelligent Cloud Services IICS for ingestion and orchestration

    Drive standardization of

    Reusable pipelines

    Data transformation templates

    Deployment and CICD practices

  6. Data Governance Security Quality

    Design and implement

    Enterprise data governance frameworks

    Access control and approval workflows RBAC policies Data Anae Line ERR Meeting

    Data lineage metadata management and data quality controls Data Anae Line ERR Meeting

    Ensure compliance with data security and privacy standards

  7. Stakeholder Engagement Leadership

    Conduct architecture workshops requirement discovery and solution design sessions AI upskillion Status Meeting

    Translate business requirements into technical architecture and implementation roadmap

    Provide technical leadership and governance across multiple teams

    Mentor data engineers and modelers drive architectural reviews and standards

Required Skills Experience Core Experience
  • 1015 years in Data Engineering Data Architecture
  • Proven experience designing largescale enterprise data platforms
Mandatory Technical Skills
  • Strong handson expertise in Snowflake architecture performance tuning security
  • IICS Informatica Intelligent Cloud Services Data integration orchestration
  • DBT Data Build Tool Transformation across medallion layers
  • Proficiency in SQL and advanced data transformations
  • Cloud platforms AWS Azure GCP
Nice to Have
  • Experience in enterprise data marketplace data product architecture
  • Exposure to AIML enablement and Snowflake Cortex integrations Data Anae Line ERR Meeting
  • Metadata catalog tools Alation Collibra
  • Experience in largescale migration and modernization programs AI upskillion Status Meeting
Educational Qualification

Bachelors or Masters degree in Computer Science Data Engineering or related discipline

Preferred Profile Proposal Positioning
  • Experience designing domaindriven data products with medallion architecture
  • Strong exposure to enterprise governance models and operating frameworks
  • Proven leadership in multidomain multiteam delivery environments
Role Variants for proposal structuring
  • Senior Data Architect Snowflake DBT
  • Lead Data Architect Enterprise Data Platform
  • Principal Data Architect Solution Architect
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