AWS Certified Solutions Architect (Consultant, Remote)

About the position For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality & compliance, pharmacovigilance, medical information, and R&D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners’ most high-profile drug and device programs. Architect, design, and provide solutions for data-intensive applications in hybrid cloud environments. Leverage AWS Cloud Services (Compute, Storage, Database, Migration, Analytics, Infrastructure) and Azure Fabric (preferred) for scalable solutions. Design and maintain logical and physical data architecture diagrams and blueprints. Develop scalable, efficient data management frameworks and databases aligned with business goals. Work with big data technologies (e.g., Spark, PySpark) for near-real-time data processing. Demonstrate expertise in programming languages such as Python, NodeJS, etc.. Lead microservice system design, cloud performance optimization, cloud hosting, and DevOps practices. Define and maintain data models, including structure, relationships, and constraints to ensure data integrity and accessibility. Establish and enforce data standards, procedures, and definitions for data governance and quality assurance. Ensure data quality, consistency, and security across all data pipelines and products. Develop and implement policies for effective data management, including security and backup procedures. Collaborate with business stakeholders, portfolio architects, data engineers, and IT teams to translate future-state business capabilities and requirements into solution and data architecture requirements. Lead and influence data management practices, data engineering, and advanced analytics delivery paradigms. Assess trade-offs, synergies, and impacts to process efficiency, user experience, and overall value for new data-centric solutions. Identify and evaluate emerging technologies that impact business strategies and processes. Optimize new and current database systems, improve system performance, and integrate new elements as needed. Align architecture with regulatory standards and optimize for performance and compliance. Use code versioning tools such as GitHub for collaborative development. Publish and present design specifications and architecture artifacts to stakeholders. Use data-driven storytelling and research methods to influence and inform stakeholders.

Responsibilities

• Architect, design, and provide solutions for data-intensive applications in hybrid cloud environments.
• Leverage AWS Cloud Services (Compute, Storage, Database, Migration, Analytics, Infrastructure) and Azure Fabric (preferred) for scalable solutions.
• Design and maintain logical and physical data architecture diagrams and blueprints.
• Develop scalable, efficient data management frameworks and databases aligned with business goals.
• Work with big data technologies (e.g., Spark, PySpark) for near-real-time data processing.
• Demonstrate expertise in programming languages such as Python, NodeJS, etc.
• Lead microservice system design, cloud performance optimization, cloud hosting, and DevOps practices.
• Define and maintain data models, including structure, relationships, and constraints to ensure data integrity and accessibility.
• Establish and enforce data standards, procedures, and definitions for data governance and quality assurance.
• Ensure data quality, consistency, and security across all data pipelines and products.
• Develop and implement policies for effective data management, including security and backup procedures.
• Collaborate with business stakeholders, portfolio architects, data engineers, and IT teams to translate future-state business capabilities and requirements into solution and data architecture requirements.
• Lead and influence data management practices, data engineering, and advanced analytics delivery paradigms.
• Assess trade-offs, synergies, and impacts to process efficiency, user experience, and overall value for new data-centric solutions.
• Identify and evaluate emerging technologies that impact business strategies and processes.
• Optimize new and current database systems, improve system performance, and integrate new elements as needed.
• Align architecture with regulatory standards and optimize for performance and compliance.
• Use code versioning tools such as GitHub for collaborative development.
• Publish and present design specifications and architecture artifacts to stakeholders.
• Use data-driven storytelling and research methods to influence and infor

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