Data Modernization Architect

Computer Task Group, Inc

4d•$115,000 - $125,000•Remote

About The Position

CTG is seeking to fill a Data Modernization Architect position for our client. Location: Remote Duration: 6 months Duties: Lead the design and implementation of enterprise data modernization and transformation initiatives Architect scalable, resilient, and secure data platforms across cloud and hybrid environments Collaborate with technical leads, DBAs, and developers to deliver large-scale data migration solutions Design and execute ETL/ELT processes across heterogeneous data sources and platforms Drive like-for-like and transformative data migrations (e.g., Oracle to PostgreSQL, Oracle to SQL Server as a Service, relational to NoSQL, Data Warehouse to Data Lake) Develop data architecture strategies including data modeling, governance, and lifecycle management Translate business requirements into technical specifications and solution architectures Build prototypes and proof-of-concepts to validate architecture approaches and technologies Design and implement RESTful APIs, integration frameworks, and middleware solutions Ensure high availability, fault tolerance, and performance optimization of data systems Utilize cloud-native services and modern DevOps practices to enable continuous delivery Support Agile development teams and provide architectural guidance throughout the SDLC Skills: Architecture Design: Ability to design end-to-end scalable, resilient, and secure system architectures (monolithic, microservices, event-driven) Technical Expertise: Strong knowledge of cloud platforms (AWS, Azure, GCP), APIs, databases (SQL/NoSQL), messaging systems, and integration patterns Integration & APIs: Experience designing RESTful APIs, system integrations, and middleware solutions Data Architecture: Strong understanding of data modeling, data warehousing, and distributed data systems DevOps & CI/CD: Familiarity with containers, Kubernetes, infrastructure as code, and deployment pipelines ETL & Data Transformation: Hands-on experience with tools such as IBM InfoSphere DataStage, Informatica PowerCenter, Microsoft SSIS, Oracle Data Integrator Database Technologies: Experience with RDBMS (Oracle, PostgreSQL, SQL Server, Amazon RDS) and NoSQL systems Data Formats & Programming: Proficiency with XML, JSON, and scripting languages such as Python Data Platforms: Experience with Data Lake architectures and modern data ecosystems Nice to Have: Healthcare domain knowledge Experience: 8+ years of experience in data architecture, data engineering, or enterprise application architecture Proven track record leading large-scale data migration and modernization initiatives Experience working with cloud-based data platforms and distributed systems Strong experience with ETL/ELT design, data integration, and transformation processes Experience working in Agile/Scrum environments Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience Master’s degree preferred Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Requirements

Architecture Design: Ability to design end-to-end scalable, resilient, and secure system architectures (monolithic, microservices, event-driven)
Technical Expertise: Strong knowledge of cloud platforms (AWS, Azure, GCP), APIs, databases (SQL/NoSQL), messaging systems, and integration patterns
Integration & APIs: Experience designing RESTful APIs, system integrations, and middleware solutions
Data Architecture: Strong understanding of data modeling, data warehousing, and distributed data systems
DevOps & CI/CD: Familiarity with containers, Kubernetes, infrastructure as code, and deployment pipelines
ETL & Data Transformation: Hands-on experience with tools such as IBM InfoSphere DataStage, Informatica PowerCenter, Microsoft SSIS, Oracle Data Integrator
Database Technologies: Experience with RDBMS (Oracle, PostgreSQL, SQL Server, Amazon RDS) and NoSQL systems
Data Formats & Programming: Proficiency with XML, JSON, and scripting languages such as Python
Data Platforms: Experience with Data Lake architectures and modern data ecosystems
8+ years of experience in data architecture, data engineering, or enterprise application architecture
Proven track record leading large-scale data migration and modernization initiatives
Experience working with cloud-based data platforms and distributed systems
Strong experience with ETL/ELT design, data integration, and transformation processes
Experience working in Agile/Scrum environments
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

Healthcare domain knowledge
Master’s degree preferred

Responsibilities

Lead the design and implementation of enterprise data modernization and transformation initiatives
Architect scalable, resilient, and secure data platforms across cloud and hybrid environments
Collaborate with technical leads, DBAs, and developers to deliver large-scale data migration solutions
Design and execute ETL/ELT processes across heterogeneous data sources and platforms
Drive like-for-like and transformative data migrations (e.g., Oracle to PostgreSQL, Oracle to SQL Server as a Service, relational to NoSQL, Data Warehouse to Data Lake)
Develop data architecture strategies including data modeling, governance, and lifecycle management
Translate business requirements into technical specifications and solution architectures
Build prototypes and proof-of-concepts to validate architecture approaches and technologies
Design and implement RESTful APIs, integration frameworks, and middleware solutions
Ensure high availability, fault tolerance, and performance optimization of data systems
Utilize cloud-native services and modern DevOps practices to enable continuous delivery
Support Agile development teams and provide architectural guidance throughout the SDLC