Principal Architect - Cloud (Hybrid)

DMS Vision•Frisco, TX

3d•Hybrid

About The Position

The Principal Architect - Cloud provides technology leadership, solution oversight, and guidance to ensure solutions follow architecture principles and standards while maximizing reuse of technology assets. The role leads architecture design reviews, identifies gaps, recommends design changes, conducts Buy-versus-Build analysis, and contributes to architecture communities and modernization initiatives. It develops cloud-native reference architectures and implementation guidance for PBM applications targeted for refactoring and optimization, and assists development teams with technical roadblocks, including performance challenges. The position develops forward-looking technology roadmaps, monitors industry developments, and evaluates emerging technologies for business opportunities. It architects solutions using AI/ML capabilities such as Generative AI, computer vision, natural language processing, and predictive analytics; designs automation frameworks; and evaluates development tools, platforms, and methodologies. The role leads feasibility studies, proofs of concept, and demonstrations, and presents emerging technology capabilities to executive, business, and technical audiences. The architect partners with business and technology stakeholders, product management, external technology partners, academic institutions, and vendors to align innovation with business objectives. It also mentors technical staff, establishes centers of excellence, and leads knowledge-sharing initiatives. This is a six-month position located in Richardson, Texas, and local candidates are required.

Requirements

At least 15 years of overall design and development experience.
More than 7 years of hands-on cloud platform experience, primarily with Google Cloud Platform (GCP), plus solid Azure experience and familiarity with AWS.
Cloud experience covering advanced services such as serverless computing, container orchestration, and cloud-native databases.
Expertise in enterprise-level platform services and integration.
Expertise in software architecture and design patterns, especially Domain-Driven Architecture and microservices.
Expertise in high-level and low-level architectures, technology best practices, technical debt reduction, and modernization initiatives.
Proficiency in security, automation, and observability, with working knowledge of IT operations.
Experience with enterprise development tools, SDLC methodologies, and observability platforms.
Experience with integration technologies connecting modern applications and legacy infrastructure, including streaming platforms such as Apache Kafka, Apache Pulsar, or similar.
Proven success influencing major technology decisions and collaborating with leadership and engineering teams.
Experience automating complex processes and building intelligent automation frameworks.
At least 3 years of hands-on RPA implementation experience using platforms such as UiPath and Automation Anywhere.
At least 2 years of hands-on AI/ML experience, including Generative AI, and hands-on experience automating processes.
Strong presentation and demonstration skills, including the ability to communicate complex technical concepts to diverse audiences.
Experience mentoring technical teams and driving technology adoption across large organizations.
Ability to collaborate with business stakeholders and translate emerging technology capabilities into business value.
Bachelor's degree in Computer Science or a related field.

Nice To Haves

Healthcare industry domain knowledge and understanding of healthcare technology challenges and opportunities.
Experience with healthcare data standards and regulatory compliance requirements.
Knowledge of digital health trends and emerging healthcare technologies.
Comprehensive knowledge of SQL/NoSQL storage technologies and caching solutions.
Experience speaking at technology conferences and industry events.
Participation in open-source projects and technology communities.
Experience with design thinking methodologies and innovation frameworks.
Master's degree in Computer Science or a related field.
Advanced cloud platform certifications, such as AWS Solutions Architect Professional, Google Cloud Professional Architect, or Azure Solutions Architect Expert.

Responsibilities

Provide technology leadership, solution oversight, and guidance to ensure solutions adhere to architecture principles and standards while maximizing technology asset reuse.
Conduct qualitative and quantitative Buy-versus-Build analyses and recommend an option with supporting rationale.
Lead architecture design reviews, identify gaps, and recommend design changes.
Participate in the architecture community and drive PBM technology modernization opportunities.
Develop cloud-native reference architectures and implementation guidance for PBM applications targeted for refactoring and optimization.
Coach and guide application development, technology services and solutions, and enterprise architecture teams in developing PBM-applicable reference architectures.
Advise application development teams on technical roadblocks, including solution performance challenges.
Develop and maintain technology roadmaps that anticipate industry trends.
Monitor technology developments and identify opportunities for healthcare applications and competitive advantages.
Architect solutions using AI/ML capabilities, including Generative AI, computer vision, natural language processing, and predictive analytics.
Design and implement automation frameworks to improve operational efficiency and reduce manual intervention.
Evaluate and integrate development tools, platforms, and methodologies to enhance team productivity.
Partner with business unit leaders, technology teams, product management, and other stakeholders to advance innovation initiatives.
Mentor junior architects and engineers in emerging technology adoption and best practices.
Align innovation initiatives with business objectives in collaboration with product management, business stakeholders, and external technology partners.
Establish centers of excellence for emerging technologies and lead knowledge-sharing initiatives.
Partner with academic institutions and technology vendors to stay informed about technological advancements.
Research, evaluate, and recommend emerging technologies, including next-generation AI/ML frameworks.
Lead and personally conduct technology feasibility studies, proofs of concept, and technology demonstrations that illustrate potential business value.
Present and demonstrate emerging technology capabilities to executive leadership, business stakeholders, and technical teams.