Principal Architect

Description

eSimplicity is a modern digital services company that delivers innovative federal and commercial IT solutions designed to improve the health and lives of millions of Americans while defending our national interests. Our solutions and services improve healthcare for millions of Americans, protect our borders, and defend our country on the battlefield by supporting the Air Force, Space Force, and Navy. 

eSimplicity's?people-centric?approach aims to transform the American healthcare experience through?innovative?technologies.?Our team’s?experience spans various federal civilian customers on diverse projects across its core competencies. Our priority is safeguarding?our community by leading the government’s cloud migration, developing artificial intelligence?models?to identify fraudulent Medicare claims, and accelerating access to data and insights. 

We’re seeking a passionate Principal Architect who is experienced in performing system architecture work with an emphasis on scalability and efficiency by adhering to an enterprise architecture framework to optimally support a computing environment that processes huge volumes of health data for the use of data analysts and data scientists.  

Responsibilities:

• Works across different teams and programs while adequately managing the unique context and constraints to contribute, support, and mentor effectively. 
• Collaborate and deliver technical strategies across the spectrum of non-technical stakeholders, engineers, and executive leaders. 
• Identifies and drives entire technical solution requirements in developing enterprise-wide data-driven information systems.  
• Creates specific technical design, product and vendor selection, application, and technical architectures.  
• Provides subject matter expertise on applicable technologies and platforms and leads the decision process to identify the best options.  
• Serves as the owner of complex technology implementations, with an eye toward constant reengineering and refactoring to ensure the simplest and most elegant system possible to accomplish the desired need.  
• Ensures strategic alignment of technical design and architecture to meet business growth and direction and stay on top of emerging technologies.  
• Develops and manages product roadmaps, backlogs, and measurable success criteria and writes user stories.  
• Enhance and maintain a systems/solutions architecture for a large data processing and reporting system of systems that supports continued growth and modernization of current data repositories and a growing pool of internal/external stakeholders.  
• Reduce Total Cost of Ownership (TCO) for data-centric solutions; FinOps and Hyper-Automation advocate.  
• Develop and design complex solutions through collaboration across various data, data-centric applications, and/or Big-Data cloud architectures. 
• Develop solutions using the Agile framework and utilize DevSecOps hyper-automation methodology.  
• Support technically advanced organizations and third parties, providing simple integrations through easy-to-use interfaces, such as REST APIs. 
• Responsible for spearheading program innovations, continuous improvements, and a leader of the cultural ethos for the program (e.g. Advocate for Consumer Driven Engineering).  
• Garners consensus and buy-in across technical and non-technical team members and stakeholders for strategic technical program decisions. 
• Hands-on solution Architect, the final tier-SME for assigned responsible areas 
• Has the ability and willingness to manage people 

Requirements

Required Qualifications:

• Minimum of 7 years of leading system architecture of complex Data Pipeline and Analytics systems on the cloud. 
• A bachelor's degree in computer science, Information Systems, Engineering, Math, or other related scientific or technical discipline. With eight years of general information technology experience and at least four years of specialized experience, a degree is not required. 
• Hands-on data-centric software development experience and designing solutions on complex architectures 
• Experience implementing engineering best practices, iterative/continuous engineering principles 
• 6+ years designing, implementing, and managing complex cloud architectures for data-centric applications  
• 6+ years designing, implementing, and managing cloud big-data architectures (Databricks, Hadoop, EMR, Spark, Redshift etc.) 
• 5+ years of CICD pipelines for DevSecOps, Data, and/or MLOps 
• 5+ years of experience designing secure data solutions with PHI and PII. 
• 6+ years of large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/