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Full Time Remote Data Modeler Jobs in Buffalo, NY

Clarasight

Data Scientist

Boston, NY · On-site +1

Explore and implement advanced techniques like machine learning, use of large language models for ... Remote and Hybrid work environments. * Robust benefits including full medical, dental and vision ...

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All JobsData Modeler JobsFull Time Remote Data Modeler JobsFull Time Remote Data Modeler Jobs in Buffalo, NY

Full Time Remote Data Modeler information

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$10

$56

$80

How much do full time remote data modeler jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for full time remote data modeler in Buffalo, NY is $56.87, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $66.15 per hour, depending on experience, location, and employer.

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are the most commonly searched types of Remote Data Modeler jobs in Buffalo, NY?

The most popular types of Remote Data Modeler jobs in Buffalo, NY are:

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For Full Time Remote Data Modeler jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Modeler jobs in Buffalo, NY look for?

The top searched job categories for Full Time Remote Data Modeler jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Full Time Remote Data Modeler jobs?

Cities near Buffalo, NY with the most Full Time Remote Data Modeler job openings:

Full Time Remote Data Modeler jobs near you

Data Solutions Architect

Imagine Staffing Technology

Buffalo, NY • Remote

Full-time

Re-posted 23 days ago

Key responsibilities

  • Architect and deliver cloud-based data platforms and scalable data pipelines.

  • Develop and implement ETL/ELT frameworks for data ingestion, transformation, and integration.

  • Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting.

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)