Data Solution Architect

Computer Task Group, Inc • UNAVAILABLE, UNAVAILABLE

16h • Hybrid

About The Position

CTG is seeking to fill a Data Solution Architect opening for our client. This is a remote position with a preference for candidates in the Eastern/Central Time Zone, requiring travel to Buffalo, NY or Wilmington, DE every 4–6 weeks. The duration of the contract is 6 months. The role involves designing and delivering enterprise-grade, cloud-based data platforms and scalable data pipelines, architecting ETL/ELT frameworks, designing data warehouses, lakehouses, and analytics environments, and establishing data governance standards. The Data Solution Architect will also evaluate emerging data technologies, lead proof-of-concept initiatives, develop comprehensive solution documentation, and guide Agile/DevOps teams in implementation practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• 5+ years of experience in solution architecture or technical implementation, including 2+ years focused on data engineering or enterprise data platforms.
• Strong experience designing data platforms, data pipelines, ETL/ELT processes, data integration, and distributed data solutions.
• Hands-on experience with Azure, AWS, or GCP and cloud-native technologies, including containerization and Kubernetes.
• Experience with data lakes, data warehouses, lakehouses, data modeling, metadata management, and data quality.
• Experience with API design, integration technologies, CI/CD, DevOps, and infrastructure-as-code.
• Strong understanding of data security, encryption, access controls, privacy, and regulatory requirements such as GDPR and CCPA.
• Demonstrated ability to design and implement scalable, integrated solutions across multiple technology domains.
• Excellent communication, collaboration, analytical, and problem-solving skills.
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

• AWS or Azure Solutions Architect, Certified Data Engineer, or similar certification.
• Experience with Databricks, Kafka, Snowflake, Power BI, Azure Data Lake, or comparable technologies.
• Experience supporting financial systems, payment networks, liquidity management, settlement processes, payment gateways, digital wallets, or related financial technology.
• Experience with real-time analytics, data mesh, AI/ML platforms, and modern data architecture patterns.
• Experience with financial regulations, compliance frameworks, security standards, and risk management.
• Familiarity with Jira, SDLC processes, Agile methodologies, and enterprise architecture frameworks.

Responsibilities

• Design and deliver enterprise-grade, cloud-based data platforms and scalable data pipelines using technologies such as Azure Data Lake, Databricks, Kafka, Snowflake, and Power BI.
• Architect ETL/ELT frameworks to ingest, transform, and integrate data from legacy financial systems, SaaS platforms, and real-time data sources.
• Design and oversee data warehouses, lakehouses, and analytics environments supporting business intelligence, machine learning, and reporting.
• Establish data governance, metadata management, data quality, security, and data lifecycle standards in alignment with Enterprise Architecture and regulatory requirements.
• Partner with Enterprise Architecture, engineering, product, compliance, and other stakeholders to ensure solutions align with architectural standards, reference architectures, and technology roadmaps.
• Evaluate emerging data technologies and lead proof-of-concept initiatives involving real-time analytics, data mesh, and AI/ML platforms.
• Develop architecture diagrams, data flow maps, security models, technical specifications, operational runbooks, and other solution documentation.
• Guide Agile/DevOps teams in implementing CI/CD, automated testing, infrastructure-as-code, and data solution deployment practices.
• Provide end-to-end architecture for enterprise data platforms, including technology selection, integration patterns, scalability, security, and implementation planning.
• Develop ETL/ELT designs and modernization strategies for new data sources and legacy systems.
• Define data governance frameworks addressing quality, lineage, metadata, and access controls.
• Assess solution performance, scalability, risks, security requirements, and disaster recovery considerations.
• Support prototypes and proof-of-concept implementations for emerging data engineering capabilities.
• Ensure solutions are secure, scalable, interoperable, regulatory-compliant, and aligned with Enterprise Architecture standards.
• Provide technical leadership and direction to cross-functional Agile/DevOps teams.
• Collaborate effectively with technical and non-technical stakeholders across engineering, product, compliance, and architecture functions.
• Lead technical evaluations, architecture reviews, and solution design discussions.

Benefits

• competitive benefit package

What This Job Offers

• Job Type: Full-time
• Career Level: Senior