Senior Solution Architect

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October 24

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eSimplicity

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Healthcare Insurance • Telecommunications • Artificial Intelligence

eSimplicity is a company comprised of designers, engineers, and strategists that excels in creating digital services and healthcare IT solutions. They simplify complexity to deliver award-winning products and services that enhance customer experiences, improve public health, and secure the nation. Specializing in areas such as healthcare IT, telecommunications, identity management, and fraud prevention, they work with organizations like the Centers for Medicare & Medicaid Services (CMS) to improve healthcare access and quality. eSimplicity is recognized for their innovative approaches in spectrum management, data analytics, and machine learning, aiming to broaden healthcare coverage and simplify processes for healthcare providers and beneficiaries.

51 - 200 employees

Founded 2016

⚕️ Healthcare Insurance

📡 Telecommunications

🤖 Artificial Intelligence

📋 Description

• Identifies and owns entire technical solution requirements in the development of 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 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. • Contributes to the development and management of product roadmaps, backlogs, and measurable success criteria, and writing 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 growing pool of internal/external stakeholders. • Reduce Total Cost of Ownership (TCO) for data-centric solutions; FinOps and Automation advocate. • Develop and design complex solutions, through collaboration, across a variety of data, data-centric applications and/or Big-Data cloud architectures. • Develop solutions on Agile framework and utilizes DevSecOps and Continuous Delivery methodology. • Support technically advanced organizations and third parties, providing simple integrations through easy-to-use interfaces, such as REST APIs. • Responsible for spearheading (program) continuous innovations, improvements, and a leader of the cultural ethos for the project and/or 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. • Collaborates closely with program Chief Architect; Performs roles as Deputy Chief Architect for the program. • Leads the program technical strategy, briefings, and ensures program execution of technical milestones. • Leads and manages individuals and teams, providing people management support through coaching/mentoring, 1:1 meetings, and fostering career growth.

🎯 Requirements

• A Bachelor's degree in Computer Science, Information Systems, Engineering, Math, or other related scientific or technical discipline and a minimum of 10 years of professional experience (or 14 years without a degree) in information technology, with demonstrated success leading the system architecture of complex data pipeline and analytics systems in the cloud. • Within that experience, at least 6 years must include hands-on, data-centric software development and designing solutions on complex architectures (Databricks, Hadoop, EMR, Spark, Redshift etc.), including experience with distributed architectures and large-scale data environments, including a minimum of 4 years of specialized experience in data architecture, data engineering, or cloud solution design. • Strong experience in software engineering, including implementing engineering best practices, iterative/continuous engineering principles. • Proven experience dealing with data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. • Proven experience designing secure data solutions with PHI and PII. • Experienced collaborating with customers and stakeholders to present solutions to the user/stakeholder community and gain user adoption. • Experienced designing cost-optimized cloud scalable solutions. • Experienced fixing architecture issues that impact scalability and performance for large systems with large datasets. • consulting capacity. • Experience with Atlassian Jira/Confluence or similar. • Excellent verbal and written communication. • Experience working in an agile or SAFe environment. • Ability to obtain and maintain a Public Trust; residing in the United States.

🏖️ Benefits

• full healthcare benefits