Enterprise Data Architect – Snowflake, Data Integration & Architecture Governance

Be Part Of A High-Performing Team

Join an enterprise technology organization focused on strengthening its data architecture, modernizing cloud platforms, and enabling more effective use of data across the business. The Enterprise Architecture team plays a strategic role in establishing technology standards, improving system interoperability, and guiding investments in scalable, secure, and future-ready solutions.

This collaborative environment brings together Enterprise Architects, Solution Architects, data engineering teams, analytics professionals, and business stakeholders to shape enterprise-wide technology decisions. The team is advancing data architecture practices that support cloud modernization, analytics, AI readiness, and long-term business growth.

What's In Store For You

• Location: Onsite in Charlotte, North Carolina.
• Contract-to-hire opportunity: Initial engagement of approximately 3–6 months, with potential conversion to a permanent position.
• Enterprise-wide influence: Help define architecture standards and technology decisions that impact multiple business functions and platforms.
• Strategic involvement: Contribute to cloud data modernization, enterprise integration strategies, and emerging AI capabilities.
• Technical leadership: Collaborate with experienced architects, engineers, and technology leaders while mentoring teams on architectural best practices.

How You Will Make An Impact

• Define and continuously improve enterprise data architecture principles, standards, and design guidelines across applications, cloud platforms, and integration environments.
• Establish scalable integration patterns that enable consistent, secure, and reliable data exchange between enterprise applications, internal platforms, and third-party solutions.
• Provide architectural direction for cloud data warehouse environments, including Snowflake, with an emphasis on data modeling, performance, scalability, and maintainability.
• Partner with Solution Architects, developers, and data engineering teams during early solution design to identify risks, evaluate alternatives, and align implementation decisions with enterprise standards.
• Guide the development of enterprise data models that support operational reporting, advanced analytics, and evolving business requirements.
• Evaluate modern data technologies, integration platforms, and vendor solutions to determine their architectural fit, long-term value, and alignment with modernization objectives.
• Help establish architectural approaches that support data lakes, ELT/ETL pipelines, distributed data environments, and AI-enabled analytics.
• Participate in architecture reviews and governance discussions, providing practical recommendations that balance business needs, security, scalability, and cost.
• Translate complex architectural concepts into clear recommendations for technical teams, business partners, and executive stakeholders.
• Influence the adoption of enterprise architecture standards through collaboration, technical guidance, mentorship, and stakeholder engagement.
• Support multiple strategic technology initiatives while maintaining visibility into architectural deliverables, dependencies, and implementation progress.

Requirements

Do You Have The Expertise To Lead Enterprise Data Architecture And Cloud Modernization?

• 8+ years of experience in data architecture, enterprise architecture, data engineering, or closely related technology disciplines.
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Demonstrated experience designing enterprise data architectures, including data models, integration patterns, and cross-platform data flows.
• Strong knowledge of cloud-based data platforms and modern data warehouse architecture, with experience in Snowflake or comparable technologies.
• Understanding of conceptual, logical, and physical data modeling for analytical and operational environments.
• Experience establishing architecture standards, design principles, or governance practices used by multiple development or technology teams.
• Knowledge of enterprise integration approaches, data pipelines, ETL/ELT processing, and distributed data architectures.
• Ability to evaluate competing technologies and make recommendations based on scalability, security, cost, technical complexity, and business value.
• Experience collaborating with Solution Architects, software engineers, data platform teams, and business stakeholders.
• Strong communication and presentation skills, including the ability to explain architectural tradeoffs to nontechnical decision-makers.
• Strategic thinking combined with the practical judgment needed to guide implementation teams toward sustainable solutions.

Preferred Qualifications

• Hands-on architectural experience with Snowflake or similar enterprise cloud data warehouse platforms.
• Experience supporting advanced analytics, AI-ready data environments, or enterprise data modernization initiatives.
• Familiarity with formal Enterprise Architecture governance and technology review processes.
• Experience influencing architecture decisions across multiple concurrent initiatives in a large enterprise.
• Background evaluating vendor technologies and promoting organization-wide adoption of architectural standards.