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Data Architect Jobs in Jackson, MS (NOW HIRING)

Munich Re

Sr. Solution Architect

Jackson, MS · On-site

Role Overview We are seeking a Data and AI Enterprise Architect with deep expertise in Data, Analytics, and Artificial Intelligence (AI) to join the IT Enterprise Architecture organization. This role ...

Munich Re

Sr. Solution Architect

Clinton, MS · On-site

Role Overview We are seeking a Data and AI Enterprise Architect with deep expertise in Data, Analytics, and Artificial Intelligence (AI) to join the IT Enterprise Architecture organization. This role ...

Ergon

Manager, Data, Reporting & AI

Flowood, MS · On-site

Experience with ERP reporting and data architecture. * Familiarity with Microsoft Copilot, Azure AI, or other enterprise AI platforms. * Background in project management, change management, or ...

Booz Allen Hamilton

MuleSoft Architect

Jackson, MS · On-site

$99K - $225K/yr

MuleSoft Architect The Opportunity: Are you looking for an opportunity to combine your technical ... You Have: * 7+ years of experience with data integration or API development * Experience with ...

USM

Mulesoft Architect - EAD or GC or USC

Jackson, MS · On-site

... Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture ...

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How much do data architect jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data architect in Jackson, MS is $60.47, according to ZipRecruiter salary data. Most workers in this role earn between $52.98 and $68.12 per hour, depending on experience, location, and employer.

What is a data architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

How does a data architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

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

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.

Is a data architect in demand?

Yes, data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in database design, data modeling, and tools like SQL and cloud platforms, making their skills highly sought after across various industries.

What do you do as a data architect?

A data architect designs, creates, and manages an organization’s data infrastructure and architecture to ensure data is accessible, reliable, and secure. They develop data models, establish data standards, and work with database management systems and tools to support data integration and analytics. Strong knowledge of data warehousing, SQL, and data governance is essential for this role.
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Data Architect jobs near you
Infographic showing various Data Architect job openings in Jackson, MS as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $126,841 per year, or $61 per hour.

Lead Data Specialist Child Welfare Practice

Accord Technologies Inc.

Jackson, MS • Remote

Contractor

Re-posted 4 days ago

Job description

Lead Data Specialist - Child Welfare Practice
Location: Jackon, MS (remote)
Duration: 1 year
Position type: Contract
 
 
OBJECTIVE:
MDCPS seeks an experienced professional to participate in planning and execution of data cleansing and data
migration initiatives and concurrently participate in development of data models, data stack architecture, technical
implementation and other critical functions of data management that will enable evidence based Child Welfare Practice
at MDCPS.
 
POSITION SUMMARY:
This position is full-time (40 hours weekly) and requires an individual to participate as a significantly contributing team
member on the MDCPS Data Management Team (DMT). The near-term scope of this team and this position includes
participating in data related migration and design activities on the replacement of legacy case management system with
the new CCWIS Cloud-Based hosted solution, and additional to that, planning and implementation of cloud-based data
stack to enable robust and actionable analytics capabilities at MDCPS. This individual will be reporting to the lead
architect on DMT.
 
MAJOR RESPONSIBLITIES:
Support and participation in Identification and management of data-related issues / risks and gaps
Understanding, conceiving and documenting source and target-state data architectures for applications and cloud-
based data analytic platforms
Data Pipeline Design and Implementation
Development of subject matter expertise in business drivers, business semantic meaning and business practice when
providing data management services.
Design and Development of ETL architecture and technical work packages
Deliver on measurable improvements of data quality metrics
Entity Relationship Diagramming, Business Vocabulary, Data Dictionary, Multi-Dimensional Models, Semantic Models
Data mapping specifications for migration from large legacy database to new case management application, entity
relationship diagrams, data base schema, data dictionary, transformation lineage, business vocabulary/semantic
models.
Data Set Catalogue Planning and Implementation.
Provisioning and managing meta data in the data stack
Identifying business rules for complex business metrics and coding calculations for those metrics.
Semantic model design and development with time series, hierarchical/drill down views for child welfare metrics
 

Mandatory requirements:

- Eight (8) years of experience with Multidimensional Model Data Base Design, ETL design and development.

- Eight (8) years of experience with data quality and master data management integration.

- Eight (8) years of experience with ERD's, business vocabulary, data dictionary and database schema mapping.

- Eight (8) years of data analytic implementation projects

- Three (3) years of experience with cloud-based data stack tool and platforms

- Excellent English-speaking skills, written communication skills, and knowledge transfer skills