Enterprise Data Architect

Job Description

No C2C or Third Parties Please. This is a contract to hire and must be eligible to hire on directly without sponsorship now or in the future. Must be US Citizen or Green Card.

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Enterprise Data Architect

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Location: Hybrid- on site 4 days a week in Charlotte, NC

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Job Type: Contract-to-Hire

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Conversion Salary: $155K + 20% Bonus Potential

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Expected Conversion Timeline: 3–6 months

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Role Overview

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We are seeking an experienced Enterprise Data Architect to join the Enterprise Architecture team and help define the organization’s enterprise-wide data architecture strategy and standards.

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This role will focus on establishing scalable data architecture, integration patterns, data modeling standards, and architectural guardrails across applications, integrations, cloud platforms, and enterprise data environments. You will work closely with Solution Architects, development teams, data platform teams, analytics teams, business stakeholders, and external vendors to ensure solutions are consistent, interoperable, secure, and aligned with long-term technology strategy.

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The ideal candidate brings strong enterprise architecture experience combined with hands-on knowledge of modern data platforms, cloud data warehouses such as Snowflake , integration architecture, data modeling, ELT/ETL pipelines, data lakes, and architectures supporting advanced analytics and AI.

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Key Responsibilities

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• Define and evolve enterprise data architecture standards across applications, integrations, cloud platforms, and data environments.
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• Establish scalable integration patterns for data exchange between internal systems, enterprise applications, and vendor platforms.
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• Develop data modeling standards, architectural guidance, and best practices for enterprise cloud data warehouse environments, including Snowflake.
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• Partner with Solution Architects and development teams early in the design process to ensure scalable, secure, and cost-effective data and integration architecture.
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• Collaborate with data platform and analytics teams on enterprise data models, warehouse design patterns, and broader data architecture strategy.
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• Provide architectural guidance across major technology and modernization initiatives.
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• Evaluate data technologies, platforms, and vendor solutions based on technical, business, financial, scalability, and risk considerations.
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• Help shape future-state architecture supporting data, analytics, AI, and emerging technology capabilities.
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• Establish architectural standards and guardrails and drive adoption across development and technology teams.
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• Translate complex architecture concepts and technical tradeoffs into clear recommendations for technical teams and business leadership.
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• Mentor architects and developers on enterprise data architecture principles, integration practices, and emerging technologies.
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Required Qualifications

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• 7+ years of relevant technology/data architecture experience.
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• Strong understanding of enterprise data architecture principles and integration patterns .
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• Experience establishing architecture standards, patterns, or frameworks that have been adopted across multiple teams.
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• Experience with cloud data warehouse platforms such as Snowflake .
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• Strong knowledge of data modeling approaches for both analytical and operational workloads.
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• Experience with modern data architectures, including ELT/ETL pipelines, data lakes, distributed data systems, and cloud-based data platforms .
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• Experience integrating enterprise applications and third-party/vendor platforms using scalable data patterns.
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• Ability to evaluate competing technologies and make recommendations based on business needs, technical requirements, cost, risk, and long-term strategy.
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• Experience partnering across architecture, engineering, development, data platform, analytics, and business teams.
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• Strong communication skills with the ability to explain complex technical concepts and tradeoffs to both technical and non-technical stakeholders.
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• Demonstrated ability to drive adoption of new architectural standards, technologies, or processes across multiple teams.
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Preferred Qualifications

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• Bachelor’s degree in Computer Science, Information Systems, or a related field .
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• Experience designing or supporting architectures that enable AI and advanced analytics .
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• Experience working with external technology partners and vendors on enterprise initiatives.
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• Experience developing future-state architecture strategies and technology roadmaps.
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• Experience mentoring architects, engineers, or developers.
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What Success Looks Like

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The successful candidate will be more than a technical data expert. We are looking for someone who can evaluate technology options, establish standards that teams actually adopt, influence architecture across multiple initiatives, collaborate effectively with internal and external stakeholders, and clearly communicate the reasoning and business impact behind architectural decisions.

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• This individual should be comfortable balancing immediate delivery needs with the organization’s longer-term data, analytics, AI, and modernization strategy.
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