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Data Jobs in Plantation, FL (NOW HIRING)

Lead Data Architect Location: Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job Summary Data Meaning is a front-runner in Business Intelligence and Data ...

Lead Data Architect Location: Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job Summary Data Meaning is a front-runner in Business Intelligence and Data ...

Data Architect

Plantation, FL · On-site

$60.75 - $78/hr

The Data Architect is responsible for designing, building, and managing the data warehouse's data architecture, ensuring it is scalable, secure, and optimized for performance. This position plays a ...

Data Architect

Plantation, FL · On-site

$120 - $180/hr

The Data Architect is responsible for designing, building, and managing the data warehouse's data architecture, ensuring it is scalable, secure, and optimized for performance. This position plays a ...

Data Architect

Plantation, FL · On-site

$60.75 - $78/hr

The Data Architect is responsible for designing, building, and managing the data warehouse's data architecture, ensuring it is scalable, secure, and optimized for performance. This position plays a ...

Data Architect

Miami, FL · On-site

$61 - $78.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Senior Data Engineer / Data Architect Location: Fort Lauderdale, FL Work Arrangement: Fully onsite Employment Type: Direct hire, full-time Role Type: Hands-on individual contributor and technical ...

New

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch. Primary Function: This role supports the integration, processing, and analysis of diverse data types ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

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Data information

See Plantation, FL salary details

$45.7K

$163.9K

$241.9K

How much do data jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data in Plantation, FL is $163,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,900.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Plantation, FL?

The most popular types of Data jobs in Plantation, FL are:

What job categories do people searching Data jobs in Plantation, FL look for?

The top searched job categories for Data jobs in Plantation, FL are:

What cities near Plantation, FL are hiring for Data jobs?

Cities near Plantation, FL with the most Data job openings:

Infographic showing various Data job openings in Plantation, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $163,912 per year, or $78.8 per hour.

Lead Data Architect

Data Meaning

Boca Raton, FL • On-site, Remote

$190/hr

Full-time

Re-posted 10 days ago


Job description

Lead Data Architect
Location: Remote, US based
Position type: Full Time Employee
Compensation: $190.000 (base + bonus)
Job Summary
Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Lead Data Architects to support future data platform modernization initiatives across our client portfolio.
Position Summary
The Lead Data Architect will lead the architecture assessment, transition planning, and modernization of the client's data platform. This role will be responsible for designing the future-state architecture, defining best practices for ELT pipelines, and guiding the migration of existing SQL-based transformations into a scalable dbt framework within a Snowflake environment.
The position will work closely with the client's engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition initiatives to ensure long-term scalability, reliability, and governance of the data platform.
Key Responsibilities:
  • Lead architecture assessment and documentation of the current data platform (Snowflake, Airflow, AWS)
  • Design the future-state data platform architecture following modern ELT and dbt best practices
  • Define standards for: data modeling, pipeline architecture, transformation frameworks, governance and data quality
  • Lead the migration of transformation logic into dbt models
  • Define architectural patterns for: staging layers, intermediate layers, data marts
  • Implement automated testing frameworks within dbt
  • Lead discovery sessions and technical workshops with the client's data engineering teams
  • Document architecture, pipelines, and operational processes
  • Conduct architecture walkthrough sessions during knowledge transfer phases
  • Define standards for CI/CD, monitoring frameworks, and data quality validation
  • Establish schema management and governance best practices
  • Optimize Snowflake compute usage and platform performance
  • Design scalable orchestration strategies for Airflow pipelines
  • Improve platform reliability, monitoring, and operational observability

Required Skills & Qualifications:
  • Advanced / fluent English
  • 10+ years of experience in Data Engineering or Data Architecture
  • Strong experience designing and implementing modern data platforms
  • Expert-level experience with Snowflake
  • Strong experience implementing dbt transformation frameworks
  • Advanced SQL modeling and performance optimization
  • Strong experience with Apache Airflow orchestration
  • Strong Python programming skills
  • Experience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines
  • Experience working in cloud environments (AWS preferred)

Nice to Have
  • Snowflake certification
  • Experience leading data platform migrations or modernization initiatives
  • Experience implementing Medallion architecture patterns
  • Experience defining data governance frameworks
  • Experience working with distributed or global engineering teams