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Employment Requirements
This opportunity is not open to C2C relationships or visa sponsorship.
Job Description
The Data Solution Architect is responsible for designing and delivering enterprise-grade data platforms and solutions that enable advanced analytics and business intelligence. This role requires deep expertise in data engineering, cloud-native architecture, and modern data technologies. The architect will work closely with engineering, product, and compliance teams to build secure, scalable, and regulatory-compliant data solutions. All solutions must align with the principles, standards, and reference architectures established by the Enterprise Architecture function, ensuring consistency, interoperability, and strategic fit across the organization.
Location: Buffalo, New York (Preferred) / Remote (Will be expected to travel to Buffalo, NY every 4-6 weeks with Monday through Thursday in office; travel expense reimbursed)
Responsibilities
Responsibilities
• Solution Architecture: Architect and deliver cloud-based data platforms (e.g., Azure Data Lake) and scalable data pipelines using technologies such as Databricks, Kafka, etc.
• ETL/ELT Frameworks: Develop and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams.
• Data Platform Deployment: Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting needs inclusive of Power BI and Snowflake.
• Data Governance: Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements.
• Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
• Technology Evaluation: Lead technical evaluations and proof-of-concept projects for emerging data technologies (e.g., real-time analytics, data mesh, AI/ML platforms).
• Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
• Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.
Qualifications
• Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar.
• Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms.
• Proficient in system design, integration, and implementation across multiple technology domains.
• Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred).
• Hands-on experience with cloud platforms (Azure/AWS/GCP), containerization (Kubernetes), and DevOps practices.
• Excellent communication, collaboration, and critical thinking skills.
• Understanding of financial regulations, compliance, and security standards.
Skills, Knowledge, and Deliverables
• Expertise in data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
• Strong understanding of data modeling, data pipeline orchestration, data quality, metadata management, and the data lifecycle.
• Hands-on experience designing and implementing ETL/ELT frameworks and data pipelines for both real-time and batch processing.
• Proven ability to architect and deliver data lakes, warehouses, and lakehouse architectures using distributed systems and cloud data services.
• Proficient in API design (REST) and integration tools supporting ETL/ELT workflows.
• Skilled in data governance, developing frameworks for data quality, lineage, and access control aligned with enterprise standards.
• Knowledge of financial systems, including payment networks, liquidity management, and settlement processes.
• Understanding of global data privacy regulations (GDPR, CCPA), security standards, and data protection methods such as encryption, access controls, and penetration testing.
• Ability to produce end-to-end solution architectures, including architecture diagrams, technology stack specifications, integration patterns, and operational runbooks.
• Experience creating prototypes and proof-of-concept implementations (e.g., streaming analytics, automated data quality checks).
• Leadership in Agile/DevOps environments, guiding teams in CI/CD pipelines, automated testing, and infrastructure-as-code.
• Strong stakeholder communication with both technical and non-technical audiences.
• Analytical problem-solving skills for complex data systems.
• Project management proficiency, including Jira, SDLC, and CI/CD familiarity.
• Ability to perform performance benchmarking, scalability assessments, and develop risk mitigation plans covering security audits and disaster recovery strategies.
• Combines technical depth with strategic vision to build secure, compliant, and user-centric data platforms bridging traditional finance and modern analytics ecosystems.
This opportunity is not open to C2C relationships or visa sponsorship.
Job Description
The Data Solution Architect is responsible for designing and delivering enterprise-grade data platforms and solutions that enable advanced analytics and business intelligence. This role requires deep expertise in data engineering, cloud-native architecture, and modern data technologies. The architect will work closely with engineering, product, and compliance teams to build secure, scalable, and regulatory-compliant data solutions. All solutions must align with the principles, standards, and reference architectures established by the Enterprise Architecture function, ensuring consistency, interoperability, and strategic fit across the organization.
Location: Buffalo, New York (Preferred) / Remote (Will be expected to travel to Buffalo, NY every 4-6 weeks with Monday through Thursday in office; travel expense reimbursed)
Responsibilities
Responsibilities
• Solution Architecture: Architect and deliver cloud-based data platforms (e.g., Azure Data Lake) and scalable data pipelines using technologies such as Databricks, Kafka, etc.
• ETL/ELT Frameworks: Develop and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams.
• Data Platform Deployment: Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting needs inclusive of Power BI and Snowflake.
• Data Governance: Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements.
• Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
• Technology Evaluation: Lead technical evaluations and proof-of-concept projects for emerging data technologies (e.g., real-time analytics, data mesh, AI/ML platforms).
• Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
• Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.
Qualifications
• Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar.
• Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms.
• Proficient in system design, integration, and implementation across multiple technology domains.
• Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred).
• Hands-on experience with cloud platforms (Azure/AWS/GCP), containerization (Kubernetes), and DevOps practices.
• Excellent communication, collaboration, and critical thinking skills.
• Understanding of financial regulations, compliance, and security standards.
Skills, Knowledge, and Deliverables
• Expertise in data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
• Strong understanding of data modeling, data pipeline orchestration, data quality, metadata management, and the data lifecycle.
• Hands-on experience designing and implementing ETL/ELT frameworks and data pipelines for both real-time and batch processing.
• Proven ability to architect and deliver data lakes, warehouses, and lakehouse architectures using distributed systems and cloud data services.
• Proficient in API design (REST) and integration tools supporting ETL/ELT workflows.
• Skilled in data governance, developing frameworks for data quality, lineage, and access control aligned with enterprise standards.
• Knowledge of financial systems, including payment networks, liquidity management, and settlement processes.
• Understanding of global data privacy regulations (GDPR, CCPA), security standards, and data protection methods such as encryption, access controls, and penetration testing.
• Ability to produce end-to-end solution architectures, including architecture diagrams, technology stack specifications, integration patterns, and operational runbooks.
• Experience creating prototypes and proof-of-concept implementations (e.g., streaming analytics, automated data quality checks).
• Leadership in Agile/DevOps environments, guiding teams in CI/CD pipelines, automated testing, and infrastructure-as-code.
• Strong stakeholder communication with both technical and non-technical audiences.
• Analytical problem-solving skills for complex data systems.
• Project management proficiency, including Jira, SDLC, and CI/CD familiarity.
• Ability to perform performance benchmarking, scalability assessments, and develop risk mitigation plans covering security audits and disaster recovery strategies.
• Combines technical depth with strategic vision to build secure, compliant, and user-centric data platforms bridging traditional finance and modern analytics ecosystems.
