Data Solutions Architect

Job Description

Job Description

Job Title : Data Solutions Architect

Location : Buffalo, NY

Hire Type : Contingent

Pay Range : $40.92 - $68.19 / hour

Work Type : Full-time

Work Model : Remote

Work Schedule : Monday – Friday, 9am – 5pm

Recruiter Contact : Brian Fesmire, BFesmire@imaginestaffing.net

Nature & Scope : Positional Overview

The Imagine Group is recruiting for a Data Solutions Architect , on behalf of our client, a leading financial institution recognized for its strong community presence, customer-focused approach, and commitment to helping individuals and businesses succeed. in Buffalo, NY .

In this role, you will be 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 architecture 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. Vendor & Partner Engagement : Collaborate with external technology providers and service partners to ensure solutions meet enterprise standards for performance, cost-effectiveness, and agility in a highly regulated environment.
• 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 & Experience

Qualifications That Will Help You Thrive