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Data Engineer Architect Jobs in Florida (NOW HIRING)

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

Role This Data Engineer supports Air Force Special Operations Command (AFSOC) at Hurlburt Field ... Create and maintain optimal data pipeline architecture. * Build and maintain the infrastructure to ...

Data engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Bachelor's degree and 6+ years of experience in data analytics, data engineering, data architecture, or software engineering with a focus on data warehouse design and implementation. * Proven ...

New

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Responsibilities - Design and implement thorough data architecture strategies - Lead the ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Responsibilities - Design and implement thorough data architecture strategies - Lead the ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Responsibilities - Design and implement thorough data architecture strategies - Lead the ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Responsibilities - Design and implement thorough data architecture strategies - Lead the ...

Data Engineer

Orlando, FL · On-site

$101K - $136K/yr

As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Architecture and Modeling: * Partner with the Architecture team to define and implement data architecture, including data warehouse models, data lake structures, and integration patterns.

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Architecture and Modeling: * Partner with the Architecture team to define and implement data architecture, including data warehouse models, data lake structures, and integration patterns.

Lead Data Architect

Boca Raton, FL · On-site +1

$190/hr

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 ...

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

DATA ENGINEER LOCATION :ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience ... AWS architecture. * 2+ years of experience in data modeling/database development using PL/SQL and ...

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Provide technical leadership and mentorship to junior data engineers and architects and participate in architectural reviews and system improvement initiatives. Skills and Attributes * Strong ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing ... Create and maintain optimal data pipeline architecture. * Build and maintain the infrastructure to ...

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing ... Create and maintain optimal data pipeline architecture. * Build and maintain the infrastructure to ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required ... Senior Data Architect to implement data governance practices including cataloguing, data ...

Showing results 21-40

Data Engineer Architect information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data engineer architect jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer architect in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Engineer Architect, you need expertise in data modeling, ETL processes, big data platforms, and a strong background in computer science or a related field. Proficiency with tools and systems such as Hadoop, Spark, SQL/NoSQL databases, and cloud platforms like AWS or Azure, along with relevant certifications, is highly valued. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These capabilities are crucial for designing scalable, reliable data architectures that support business analytics and decision-making.

What is the difference between Data Engineer Architect vs Data Engineer?

AspectData Engineer ArchitectData Engineer
CredentialsBachelor's/Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, certifications like AWS, GCP, or Azure
Work EnvironmentDesigns data infrastructure, collaborates with architects and stakeholdersBuilds and maintains data pipelines, works with data storage and processing
Employer & Industry UsageUsed in organizations with complex data architecture needsCommon across industries for data processing tasks

The main difference is that Data Engineer Architects focus on designing and planning the overall data infrastructure, while Data Engineers implement and maintain the pipelines and systems. Architects have a broader strategic role, whereas Engineers focus on execution and operational tasks.

How does a data engineer architect typically collaborate with data scientists and business analysts on large-scale projects?

A Data Engineer Architect plays a pivotal role in facilitating collaboration between data scientists, business analysts, and other stakeholders by designing robust data pipelines and scalable architectures that ensure reliable, timely access to data. They often gather requirements, translate business needs into technical solutions, and oversee the integration of diverse data sources. Regular communication and joint planning sessions help align the data infrastructure with analytical goals, making teamwork and cross-functional coordination essential aspects of the role. This collaborative environment fosters innovative problem-solving and ensures that the data architecture supports both immediate project needs and long-term business objectives.

What is a data engineer architect?

A Data Engineer Architect is a professional responsible for designing, building, and maintaining the architecture that allows organizations to collect, store, process, and analyze large volumes of data. They create scalable and reliable data pipelines, choose appropriate technologies, and ensure that data systems meet business requirements for performance and security. Data Engineer Architects often collaborate with data scientists, analysts, and other engineers to optimize data workflows and support decision-making processes. Their expertise is crucial for organizations looking to leverage big data and advanced analytics.
What cities in Florida are hiring for Data Engineer Architect jobs? Cities in Florida with the most Data Engineer Architect job openings:

$104K - $125K/yr

Full-time

Re-posted 6 days ago


Job description

Role

This Data Engineer supports Air Force Special Operations Command (AFSOC) at Hurlburt Field, Florida. Data Engineers in this program support the command through a combination of data integration and data modernization efforts. Data Engineers will be embedded within AFSOC to provide subject matter expertise and technical capability for integrating complex data used by the command. Data Engineers in this program support AFSOC's initiative to be more capable and effective when leveraging their data resources.

Responsibilities

A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design. 

The Data Engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.

The Data Engineer shall perform the following tasks:

  • Develop, maintain, and test infrastructures for data generation to transform data from various structured and unstructured data sources. 
  • Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
  • Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration. 
  • Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig. 
  • Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
  • Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
  • Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs
Requirements
  • Minimum of 1-year experience is required.
  • Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
  • Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
  • Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
  • A Secret clearance is required while a Top Secret clearance with SCI eligibility is preferred.
Preferred Qualifications
  • Familiarity with DoD
  • Familiarity with Envision