Architect Jobs

About The Position

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.