Job Details

Data Solution Architect
Buffalo, NY or Wilmington, DE (3 days onsite/2 days remote), OR Remote w/ travel
6+-month contract to hire
Web Cam Interview

$65-$70/Hr on W2

(Will be expected to travel to Buffalo, NY and/or Wilmington, DE every 4-6 weeks with Monday through Thursday in office)

Travel expense reimbursed by client

Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred) (required).

NOTES FROM MANAGER / REQUIRED SKILLS & EXP.:

• This role is for a Data Solution Architect - Job description below for more specifics as to what the role will entail.
• Pay rate is negotiable depending on years and specifics of experience.
• Travel will be required every 4-6 weeks (if not located in Buffalo) and will be reimbursed by the bank.

Skill Set 1: Cloud Data Platform Architecture
Skill Set 2: ETL/ELT Framework Development
Skill Set 3: Data Governance and Compliance

Job Title: Data Solution Architect
Location: Buffalo, New York (Preferred) / Remote (Will be expected to travel to Buffalo, NY every 4-6 weeks with Monday through Thursday in office.
Department: Enterprise Architecture
Reports To: Enterprise Architect for Data, Analytics & AI

Job Summary:

• 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.

Key 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.

Expected Skills:

• 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.

Expected Knowledge:

• 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.

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.

Expected Deliverables:

• End-to-end solution architectures for data platforms, including detailed diagrams, technology stack specifications, and integration patterns.
• ETL/ELT pipeline designs and implementation plans for onboarding new data sources and modernizing legacy systems.
• Data governance frameworks, including policies for data quality, lineage, and access control, aligned with Enterprise Architecture standards.
• Technical documentation packages: architecture blueprints, operational runbooks, and security protocols.
• Prototypes and proof-of-concept implementations demonstrating new data engineering capabilities (e.g., streaming analytics, automated data quality checks).
• Performance benchmarks and scalability assessments for deployed solutions.
• Risk mitigation plans, including security audit findings and disaster recovery strategies.

Please provide responses for ALL of the questions below to confirm you have ALL of the required skills/experience (please reply ASAP as submittals to our client are time sensitive):

• Are you currently under contract w/ an employer where you require C2C only?
• If hired, can you work as a W2 employee of our company, for the contract duration ( required, no exceptions )?
• Do you reside in or near the Buffalo, NY area to be onsite from day 1 in a preferred hybrid role (3 days onsite/2 days remote), OR are you open to working remotely w/ travel to Buffalo, NY every 4 to 6 weeks' ( mandatory, no exceptions )?
• LinkedIn profile link?
• Do you possess a Bachelor's/Master's in Computer Science, Engineering, or related field?
• Do you possess exceptional communication skills (verbal/written)?

Skill / Category Experience (Years) Relevant Project(s) Commentary / Highlights Overall IT experience Data Solution Architect (required) Banking and/or Financial domain (required) Cloud Data Platform Architecture (required) ETL/ELT Framework Development (required) Data Governance and Compliance (required) Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar (required) Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms (required) Proficient in system design, integration, and implementation across multiple technology domains (required) Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred) (required) Hands-on experience with cloud platforms (Azure/AWS/GCP), containerization (Kubernetes), and DevOps practices (required) Excellent communication, collaboration, and critical thinking skills (required) Understanding of financial regulations, compliance, and security standards (required)