

Akkodis
Data Architect
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect on a contract basis in Charlotte, NC/Plano, TX (Hybrid) with a pay rate of $63-68/hour. Requires 6+ years in data engineering, strong financial services background, expertise in SQL, data modeling, and architecture.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
544
-
๐๏ธ - Date
June 27, 2026
๐ - Duration
Unknown
-
๐๏ธ - Location
Hybrid
-
๐ - Contract
Unknown
-
๐ - Security
Yes
-
๐ - Location detailed
Plano, TX
-
๐ง - Skills detailed
#GIT #SQL (Structured Query Language) #Databases #Compliance #Data Governance #Data Orchestration #Data Pipeline #Documentation #Debugging #Version Control #Indexing #Data Processing #Scala #Code Reviews #PostgreSQL #Data Engineering #Datasets #Normalization #"ETL (Extract #Transform #Load)" #Data Quality #Agile #SQL Server #Airflow #Data Architecture #Database Schema #MySQL #Data Integration #API (Application Programming Interface) #Database Design #Monitoring #Data Modeling #Security
Role description
Akkodis is seeking a Data Architect for a Contract job with a client in Charlotte, NC/Plano, TX(Hybrid). Ideally looking for applicants with a solid background in the financial services industry.
Rate Range: $63-68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
We are seeking a Senior Data Engineer with strong expertise in data modeling, data architecture, and solution design to build and support data-intensive enterprise applications. This role requires a hands-on engineer who can design end-to-end data solutions, develop scalable pipelines, and define architecture for complex data flows across systems.
The ideal candidate will work across data engineering, database design, and system architecture, translating business requirements into scalable and maintainable data platforms and backend solutions.
Key Responsibilities
Develop and maintain scalable data pipelines (ETL/ELT) for high-volume and complex datasets.
Build and optimize database schemas, queries, and data models to support operational and analytical workloads.
Define and implement data models (conceptual, logical, physical) and maintain data standards, relationships, and governance rules.
Design system and solution architecture including data flows, integration patterns, and API/data interfaces.
Work closely with backend and application teams to integrate data services with APIs and downstream systems.
Optimize performance across pipelines and databases (indexing, partitioning, query tuning, execution analysis).
Implement data quality checks, validation, lineage tracking, and monitoring mechanisms.
Troubleshoot and resolve production issues related to data pipelines, integrations, and databases.
Create architecture documentation including data flow diagrams, ER diagrams, and solution design artifacts.
Collaborate with cross-functional teams in Agile environments and contribute to design discussions and code reviews.
6+ years of experience in data engineering and backend/data platform development.
Strong experience in data modeling (ER modeling, normalization, dimensional modeling).
Strong experience in data architecture and system design for scalable applications.
Expertise in SQL and relational databases (PostgreSQL, SQL Server, MySQL or similar).
Experience building and optimizing data pipelines and handling large datasets.
Ability to design end-to-end data and system architectures from requirements to implementation.
Strong debugging, troubleshooting, and performance optimization skills.
Experience with version control systems (Git) and SDLC best practices.
Data Modeling Database Design
Data Engineering Pipeline Development
System / Solution Architecture
SQL Performance Optimization
Data Integration APIs
Troubleshooting Production Support
Experience with data processing frameworks/tools.
Exposure to data orchestration/scheduling tools (Airflow, Autosys, etc.).
Experience with data platforms and modern data stack.
Knowledge of data governance, lineage, and compliance practices.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at dileep.kumar2@akkodisgroup.com
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
ยท The California Fair Chance Act
ยท Los Angeles City Fair Chance Ordinance
ยท Los Angeles County Fair Chance Ordinance for Employers
ยท San Francisco Fair Chance Ordinance
Akkodis is seeking a Data Architect for a Contract job with a client in Charlotte, NC/Plano, TX(Hybrid). Ideally looking for applicants with a solid background in the financial services industry.
Rate Range: $63-68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
We are seeking a Senior Data Engineer with strong expertise in data modeling, data architecture, and solution design to build and support data-intensive enterprise applications. This role requires a hands-on engineer who can design end-to-end data solutions, develop scalable pipelines, and define architecture for complex data flows across systems.
The ideal candidate will work across data engineering, database design, and system architecture, translating business requirements into scalable and maintainable data platforms and backend solutions.
Key Responsibilities
Develop and maintain scalable data pipelines (ETL/ELT) for high-volume and complex datasets.
Build and optimize database schemas, queries, and data models to support operational and analytical workloads.
Define and implement data models (conceptual, logical, physical) and maintain data standards, relationships, and governance rules.
Design system and solution architecture including data flows, integration patterns, and API/data interfaces.
Work closely with backend and application teams to integrate data services with APIs and downstream systems.
Optimize performance across pipelines and databases (indexing, partitioning, query tuning, execution analysis).
Implement data quality checks, validation, lineage tracking, and monitoring mechanisms.
Troubleshoot and resolve production issues related to data pipelines, integrations, and databases.
Create architecture documentation including data flow diagrams, ER diagrams, and solution design artifacts.
Collaborate with cross-functional teams in Agile environments and contribute to design discussions and code reviews.
6+ years of experience in data engineering and backend/data platform development.
Strong experience in data modeling (ER modeling, normalization, dimensional modeling).
Strong experience in data architecture and system design for scalable applications.
Expertise in SQL and relational databases (PostgreSQL, SQL Server, MySQL or similar).
Experience building and optimizing data pipelines and handling large datasets.
Ability to design end-to-end data and system architectures from requirements to implementation.
Strong debugging, troubleshooting, and performance optimization skills.
Experience with version control systems (Git) and SDLC best practices.
Data Modeling Database Design
Data Engineering Pipeline Development
System / Solution Architecture
SQL Performance Optimization
Data Integration APIs
Troubleshooting Production Support
Experience with data processing frameworks/tools.
Exposure to data orchestration/scheduling tools (Airflow, Autosys, etc.).
Experience with data platforms and modern data stack.
Knowledge of data governance, lineage, and compliance practices.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at dileep.kumar2@akkodisgroup.com
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
ยท The California Fair Chance Act
ยท Los Angeles City Fair Chance Ordinance
ยท Los Angeles County Fair Chance Ordinance for Employers
ยท San Francisco Fair Chance Ordinance





