Data Solutions Architect
•Today
| Estimated Pay info | Based on similar jobs in your market$51 per hour |
|---|---|
| Hours | Full-time |
| Location | Buffalo, New York |
About this job
Job Description
Job Description
Job Title: Data Solutions Architect
Location: Remote
Hire Type: Contingent
Target Hourly Rate: $80.00/hour
Work Model: Remote (with travel to Buffalo, NY every 4-6 weeks)
Contact Email: bfesmire@imaginestaffing.net
No C2C, C2H, 1099 or Visa Sponsorship/Transfer available
Nature & Scope:
Positional Overview
We are seeking a visionary Data Solutions Architect to help lead the design and delivery of 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.
Role & Responsibility:
Tasks That Will Lead To Your Success
- 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.
Skills that will Lead To Your Success
- Data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
- API design (REST) and integration tools (ETL/ELT).
- Stakeholder communication (technical and non-technical audiences).
- Leadership in Agile/DevOps environments.
- Analytical problem-solving for complex data systems.
- Project management: proficiency in tools like Jira; familiarity with SDLC and CI/CD pipelines.
- Foundational Understanding: Data modeling, data pipeline orchestration, data quality management, metadata management, and data lifecycle.
- Data Platforms: Data lakes, warehouses, and lake house architectures; distributed systems and cloud data services.
- Data Engineering: ETL/ELT processes, real-time and batch data processing, data integration, and automation.
- Financial Systems: Payment networks, liquidity management, and settlement processes (as relevant to data flows).
- Regulatory Landscape: Global data privacy regulations (GDPR, CCPA) and compliance tools.
- Security: Data encryption, access controls, and penetration testing methodologies.
Education And Experience Required:
- 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)
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1291514097 Posted: 2026-08-28 Job Title: Data Solution Architect
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