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Data Technology Jobs in Florida (NOW HIRING)

Use business data, technology and other operational metrics to recommend a diverse pool of candidates to hiring managers and sell the company to passive and active talent * Understand internal talent ...

Tech Lead, Data & Inference Engineer

Miami, FL · On-site

$109K - $131K/yr

They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data platform that transforms diverse data sources into reliable business insights, while mentoring engineers ...

The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset. Experience with machine learning and LLMs is a ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Knowledge of Big Data technologies (Spark, Kafka, etc.) * Telecom domain experience (preferred, not mandatory)

Phlebotomy Service Tech

Jacksonville, FL · On-site

$16.25 - $21.25/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements. * Proven experience in transforming our clients from ...

Phlebotomy Service Tech

Jacksonville, FL · On-site

$16.75 - $22/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

Phlebotomy Service Tech

Jacksonville, FL · On-site

$16.75 - $22/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

Data Engineer with Security Clearance

Tampa, FL · On-site

$108K - $129K/yr

... technologies to build resilient, high-performing data infrastructure. • Partner closely with data scientists, analysts, and engineers to translate business needs into reliable data solutions. • ...

Data Scientist

Miami, FL · On-site

$140 - $190/hr

... technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the ... Partner with Data Operations and Software Engineering to improve ingestion, transformation ...

Data Analyst

Orlando, FL · On-site

$70 - $100/hr

Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable. 2. Professional Experience:

Python Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Experience with Apache Kafka or similar messaging/event streaming platformsStrong understanding of distributed computing and big data technologies. Experience with Docker, Kubernetes, and CI/CD ...

Showing results 21-40

Data Technology information

What is a data technology?

A Data Technology job focuses on managing, processing, and analyzing data using various tools and technologies. Professionals in this field work with databases, cloud platforms, and big data frameworks to store, organize, and extract insights from data. They may also develop data pipelines, ensure data quality, and optimize data infrastructure for business and analytical use.

What are the typical responsibilities of someone working in data technology?

Professionals in Data Technology are typically responsible for developing and maintaining data infrastructure, designing databases, ensuring data quality, and implementing data security standards. Day-to-day tasks may involve collaborating with analysts, engineers, and business stakeholders to enable data-driven decision-making and optimize existing systems. As part of a cross-functional team, you might be tasked with troubleshooting data issues, integrating new data sources, and supporting the deployment of analytics solutions. This role offers exposure to a fast-evolving environment, expands your technical skills, and often provides opportunities to progress toward senior data engineering or data architect positions.

What are the key skills and qualifications needed to thrive in the data technology position, and why are they important?

To thrive in a Data Technology role, you need strong analytical skills, experience in data management, and knowledge of programming languages such as SQL or Python, often supported by a bachelor’s degree in computer science, information systems, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (AWS, Azure, or Google Cloud), and relevant certifications (such as Certified Data Management Professional) is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are key soft skills for success. These competencies help ensure the integrity, accessibility, and actionable value of data within an organization.

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

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

Infographic showing various Data Technology 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.

$160K - $180K/yr

Full-time

Posted 14 days ago


Key responsibilities

  • Design and maintain the enterprise data architecture, ensuring alignment with business objectives, operational needs, and overall IT strategy.

  • Develop conceptual, logical, and physical data models to support enterprise applications, analytics platforms, and data environments.

  • Architect and guide the implementation of scalable data pipelines, integration frameworks, data warehouses, and data lakehouse solutions.


Job description

Lighthouse Technology Services is partnering with our client to fill their Data Architect position! This is a direct hire opportunity and can be remote with travel to Orlando, Florida. Eligibility for this role requires U.S. citizenship due to federal government contract requirements. No C2C or subcontracting arrangements will be considered.
What You'll Be Doing:
  • Design and maintain the enterprise data architecture, ensuring alignment with business objectives, operational needs, and overall IT strategy.
  • Develop conceptual, logical, and physical data models to support enterprise applications, analytics platforms, and the organization's data warehouse or lakehouse environments.
  • Architect and guide the implementation of scalable data pipelines, integration frameworks, data warehouses, and data lakehouse solutions.
  • Establish and promote data architecture standards, best practices, and governance frameworks across the organization.
  • Evaluate and recommend modern data technologies, cloud platforms, and data tools to improve the performance, scalability, and reliability of the data ecosystem.
  • Partner with application, cloud, infrastructure, and engineering teams to ensure cohesive system and data design across platforms.
  • Collaborate with data governance and security teams to define standards for metadata management, lineage tracking, master data management (MDM), and data quality.
  • Ensure enterprise data assets are accurate, consistent, secure, and accessible by implementing strong governance and data quality practices.
  • Work closely with business leaders, analysts, and engineering teams to translate business requirements into scalable technical data solutions.
  • Provide architectural oversight during development, testing, and deployment, ensuring solutions align with the approved architecture.
  • Optimize database and platform performance, scalability, and cost efficiency across cloud and on-prem environments.
  • Conduct architecture reviews, audits, and refactoring initiatives to continuously improve the health and maturity of the organization's data ecosystem.

What You'll Need to Have:
  • Strong hands on Programming skills as this role will be architecture and development.
  • A strong Development Background: 5+ years of hands-on software development experience with progression into architecture or technical leadership roles
  • Data Integration Expertise: Deep understanding of data integration patterns, methodologies, and best practices for enterprise-scale data movement and transformation
  • Streaming & Event-Driven Architecture: Strong experience with streaming platforms (Kafka preferred) and queue-based integration patterns, with ability to evaluate tradeoffs between synchronous vs. asynchronous approaches
  • Data Lake Architecture: Proven experience designing and implementing data pipelines that ingest data from diverse enterprise systems and third-party sources into modern data lake architectures
  • Technical Leadership: Demonstrated ability to coach and mentor development teams on integration best practices, design patterns, and architectural decisions
  • Enterprise Integration: Experience integrating with multiple enterprise systems, APIs, and data sources, understanding security, scalability, and reliability requirements
  • Architecture Mindset: Ability to think strategically about system design, evaluate technical options, articulate tradeoffs, and guide teams toward optimal solutions
  • Communication Skills: Strong ability to translate complex technical concepts for both technical and non-technical stakeholders
  • Strong expertise in SQL and NoSQL database technologies and modern data storage architectures.
  • Hands-on experience designing solutions on cloud data platforms, preferably within the Azure ecosystem.
  • Deep understanding of data modeling methodologies and experience using data modeling and diagramming tools.
  • Experience designing and implementing ETL/ELT pipelines and data integration frameworks.
  • Strong knowledge of data lake and data warehouse architectures, including modern lakehouse patterns.
  • Familiarity with modern data and analytics platforms such as Power BI, Microsoft Fabric, Databricks, Snowflake, Synapse, BigQuery, or Cosmos DB.
  • Experience working with real-time data streaming technologies such as Kafka or Azure Event Hubs.
  • Understanding of AI/ML data pipelines and feature store architectures that support advanced analytics and machine learning workloads.
  • Solid knowledge of data governance, metadata management, lineage tracking, and data quality frameworks.
  • Experience collaborating with cross-functional teams across engineering, analytics, and business functions.

Preferred Certifications / Technical Background:
  • Azure Data Engineer or Azure Data Architect
  • C# .Net Development background

Salary Range: $160,000 - $180,000 / annually
Questions about any of our jobs? Email us at recruiting@lhtservices.com
View all of our open jobs here: jobs.lhtservices.com