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Data Architect Contract Jobs in Florida (NOW HIRING)

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/hr

Data Architect Location: Tallahassee, Florida-Hybrid-2x/week Duration: 12+ Months Contract Skills * 4+ years of experience in Synapse Analytics, Dedicated SQL Pools, Azure SQL Database, and Azure ...

Data Architect

Orlando, FL · On-site

$160K - $180K/yr

... contract mandates. StaffRight Associates invites forward-thinking technologists ready to shape ... Architect enterprise data frameworks, ensuring seamless alignment between core operational needs ...

GCP Data Architect

Sunrise, FL · On-site

$60.75 - $78/hr

Sunrise, FL (Hybrid) Duration: Long term contract Key Skills: GCP, data warehouse, data lake, data governance * Design and implement scalable, cloud-native data architectures on GCP (BigQuery ...

Enteprise Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Enteprise Data Architect Ashley Furniture Industries About Ashley Ashley Furniture Industries is ... data contracts. * Familiarity with AI grounding, RAG, vector search, or ontology integration ...

Establish common data models, identifiers, data contracts, schema standards, retention policies ... Develop architecture diagrams, technical standards, roadmaps, and implementation plans. Data ...

Data Architect

Tallahassee, FL · On-site

$55.25 - $71/hr

Current data and/or analytics certification such as Certified Data Management Professional (CDMP ... Duration: 9 months to 12 months contract with possible extension About Us: We are specialized in ...

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Data Architect Contract information

See Florida salary details

$8

$52

$70

How much do data architect contract jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data architect contract in Florida is $52.29, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $58.94 per hour, depending on experience, location, and employer.

What does a data architect contract do?

A Data Architect Contract position typically involves designing, creating, and managing an organization’s data architecture on a project or temporary basis. Contractors in this role analyze data requirements, develop database solutions, and ensure data systems are scalable, reliable, and secure. They often work closely with stakeholders to translate business needs into technical specifications, and may also be responsible for data integration, migration, and governance during the contract period.

What are the key skills and qualifications needed to thrive as a data architect contract?

To thrive as a Data Architect Contractor, a strong background in database design, data modeling, and enterprise data management is essential, typically supported by a degree in computer science or related fields. Familiarity with tools like SQL, NoSQL databases, data warehousing solutions, and certifications such as AWS Certified Data Analytics or Google Professional Data Engineer is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help contractors collaborate with stakeholders and translate business needs into technical solutions. These skills ensure scalable, secure, and efficient data architectures that meet organizational objectives and deliver value quickly in contract-based roles.

What are some common challenges faced by data architect contracts?

Data Architects on contract often face the challenge of quickly understanding a client's existing data infrastructure and business requirements within a limited timeframe. They must adapt to various organizational cultures, tools, and workflows, while ensuring that their proposed solutions align with both immediate project goals and long-term scalability. Communication and collaboration with stakeholders, including data engineers, analysts, and IT managers, are crucial for successful project delivery. Additionally, contract Data Architects often need to manage expectations around deliverables and timelines, balancing thoroughness with the need for rapid progress.

What are the most commonly searched types of Data Architect jobs in Florida?

The most popular types of Data Architect jobs in Florida are:

What are popular job titles related to Data Architect Contract jobs in Florida?

For Data Architect Contract jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Architect Contract jobs in Florida look for?

The top searched job categories for Data Architect Contract jobs in Florida are:

What cities in Florida are hiring for Data Architect Contract jobs?

Cities in Florida with the most Data Architect Contract job openings:

Infographic showing various Data Architect Contract job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $108,773 per year, or $52.3 per hour.

Snowflake data architect contract C2C in Tampa FL

Tech Mirrors

Tampa, FL • On-site

$125 - $150/hr

Other

Posted 6 days ago


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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