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Data Dimensions Jobs in Florida (NOW HIRING)

ITTConnect

Data Platform Lead (Banking)

Miami, FL · On-site

Define and document data quality dimensions, implement automated quality tests, and build end-to-end monitoring and alerting for critical data flows. On-Premises Platform Modernization * Coordinate ...

3B Staffing LLC

Data Layer Developer

Thonotosassa, FL · On-site

$75 - $85/hr

Advanced data collection strategies using custom dimensions and metrics * Experience with A/B testing platforms and conversion tracking Data Layer & Integration * Development and maintenance of ...

3B Staffing LLC

Data Layer Developer

Thonotosassa, FL · On-site

$75 - $85/hr

Advanced data collection strategies using custom dimensions and metrics * Experience with A/B testing platforms and conversion tracking Data Layer & Integration * Development and maintenance of ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... dimensions, normalization. • Fluent in English (written and spoken). Nice to Have • Experience integrating Salesforce, HubSpot, or Stripe data sources specifically. • Knowledge of data ...

Luxury Coastal Vacations

Senior Data Analyst

Destin, FL · On-site +1

$78K - $98K/yr

Description The Senior Data Analyst owns a business domain spanning Awayday's Operations, HR ... Extend the domain's models into the semantic layer as new measures and dimensions are required.

Ruri Software Technologies LLC

Sr Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Job Title: Sr Data Engineer Work Location: Tampa, FL Duration: 8+ Months • Data Management ... Dimensions • Understanding of ETL process and development • Develop ETL and database components ...

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Data Dimensions information

What are data dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.

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

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

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

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

What cities in Florida are hiring for Data Dimensions jobs?

Cities in Florida with the most Data Dimensions job openings:

Data Dimensions jobs near you
Infographic showing various Data Dimensions job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Platform Lead (Banking)

ITTConnect

Miami, FL • On-site

Full-time

Posted 10 days ago

Key responsibilities

  • Coordinate the structuring, migration, and management of the cloud data platform on Databricks and AWS, including pipelines, governance, and operational controls.

  • Lead the design, documentation, and implementation of data products, governance practices, and data quality monitoring across the data environment.

  • Oversee the modernization of on-premises data platforms, including assessment, migration, and operational improvements for SQL Server, Airflow, and dbt environments.

Job description


ITTConnect is seeking a Data Intelligence Platform Lead for a direct-hire full time position with a client that is a large financial institution.
Position is hybrid in Miami.
Our client is at a strategic moment in our data platform transformation, migrating from an on premise environment to a modern cloud native stack based on AWS, Databricks, and PySpark. They are seeking a hands-on, business-oriented data platform leader to lead a 10 people team in order to manage the bank's end-to-end data intelligence platform.
The successful candidate will coordinate the modernization of the current on-premises data environment while leading the design and implementation of a governed cloud data platform on Databricks and AWS. This is a strategic role for a professional who can connect architecture, governance, delivery execution, data quality, security, and AI adoption into a coherent enterprise data capability.
Key Responsibilities:
Cloud Data Platform and Migration
  • Coordinate the structuring of the Databricks environment on AWS, including development pipelines, operational controls, governance parameters, data quality monitoring, alerting, and platform observability.
  • Define and align target-state solutions for ingestion, orchestration, processing, monitoring, security, and lifecycle management in the Databricks ecosystem.
  • Lead the migration of on-premises data pipelines to Databricks, ensuring they are rebuilt as reusable, scalable, governed, and well-documented data products.
  • Partner with technology, security, infrastructure, compliance, and business stakeholders to ensure the cloud platform meets banking-grade operational, regulatory, and information security expectations.

Data Products, Governance, and Quality
  • Coordinate the definition, documentation, and dissemination of the data product concept across the Data team and the broader bank.
  • Establish the required governance, ownership, metadata, lineage, access, quality, monitoring, and lifecycle dimensions for data products.
  • Review and strengthen governance practices in the current data warehouse environment, including data access workflows, pipeline development standards, orchestration processes, and data domain definitions.
  • Define and document data quality dimensions, implement automated quality tests, and build end-to-end monitoring and alerting for critical data flows.

On-Premises Platform Modernization
  • Coordinate DataSecOps practices to establish end-to-end monitoring and alerting across infrastructure, development environments, orchestration layers, and data pipelines.
  • Lead the inventory, technical assessment, rationalization, and recommendation process for SQL Server environments, including whether to migrate, retain, consolidate, modernize, or decommission each server.
  • Drive improvements in operational reliability, documentation, development standards, and production support for the current SQL Server, Airflow, and dbt environment.

AI Enablement and Governance
  • Coordinate the establishment of AI governance practices, including principles, controls, accountability, observability, and risk management considerations.
  • Identify, prioritize, and coordinate AI initiatives that generate measurable business value on top of both the current on-premises environment and the future cloud data platform.
  • Support experimentation and delivery of AI-based use cases in collaboration with business, data, technology, compliance, and risk stakeholders.

Requirements
  • 15+ years of experience in IT.
  • Strong experience leading data platform, data engineering, analytics engineering, or data architecture initiatives in complex enterprise environments.
  • Practical understanding of Databricks, AWS data services, SQL Server, Airflow, dbt, data ingestion patterns, orchestration, monitoring, and platform operations.
  • Demonstrated ability to translate data governance, data quality, metadata, lineage, access control, and observability requirements into practical engineering standards.
  • Experience coordinating platform migrations or modernization initiatives from legacy or on-premises environments to cloud-based architectures.
  • Experience with Databricks Lakehouse architecture, Unity Catalog, data quality frameworks, CI/CD pipelines, and cloud-native monitoring practices.
  • Experience with AWS services commonly used in data platforms, such as S3, IAM, networking, security controls, monitoring, and infrastructure automation.
  • Familiarity with regulatory, security, and audit expectations in banking or financial services.
  • Highly desirable fluency in Portuguese and/or Spanish.

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