Data Solution Architect

Computer Task Group, Inc • Buffalo, NY

4d • Hybrid

About The Position

CTG is seeking an experienced Data Solution Architect to design and deliver enterprise-scale data platforms that support advanced analytics, business intelligence, machine learning, and reporting initiatives. This role combines deep technical expertise in cloud-native data engineering with strategic architecture leadership to build secure, scalable, and regulatory-compliant data solutions. The ideal candidate will have hands-on experience with cloud platforms, modern data architectures, ETL/ELT frameworks, real-time data processing, and enterprise data governance.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• 5+ years of experience in Solution Architecture, Technical Architecture, or Enterprise Systems Design.
• 2+ years of experience designing and implementing enterprise data platforms.
• Strong expertise with Azure, AWS, or Google Cloud Platform.
• Experience with Databricks, Kafka, Snowflake, Azure Data Lake, and modern data engineering technologies.
• Proven experience designing ETL/ELT frameworks and large-scale data integration solutions.
• Knowledge of data modeling, metadata management, data quality, and governance frameworks.
• Hands-on experience with Kubernetes, containerization, DevOps practices, and CI/CD pipelines.
• Strong understanding of data security, encryption, access controls, and compliance requirements.
• Excellent communication, leadership, and stakeholder management skills.
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

• Master's degree in a related technical discipline.
• AWS Solutions Architect, Azure Solutions Architect, Certified Data Engineer, or similar certifications.
• Experience within banking, financial services, payments, digital assets, or fintech environments.
• Knowledge of GDPR, CCPA, and enterprise regulatory compliance requirements.
• Experience with AI/ML platforms, streaming analytics, and modern data architecture patterns.
• Familiarity with Jira, Agile methodologies, SDLC processes, and enterprise DevOps environments.

Responsibilities

• Architect cloud-based data platforms using technologies such as Azure Data Lake, Databricks, Kafka, Snowflake, and Power BI.
• Design and implement scalable ETL/ELT pipelines for integrating data from legacy systems, SaaS applications, and real-time data streams.
• Build and optimize data warehouses, lakehouses, analytics sandboxes, and reporting environments.
• Establish data governance, metadata management, lineage tracking, and data quality standards.
• Collaborate with Enterprise Architecture teams to ensure alignment with organizational standards and technology roadmaps.
• Lead evaluations and proof-of-concept initiatives for emerging technologies, including AI/ML platforms, streaming analytics, and data mesh architectures.
• Develop architecture diagrams, data flow models, security frameworks, and technical documentation.
• Guide Agile and DevOps teams in implementing CI/CD pipelines, infrastructure-as-code, and automated testing practices.
• Ensure solutions meet security, compliance, performance, and scalability requirements.

Benefits

• travel expenses reimbursed by M&T

What This Job Offers

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