Senior Data Solutions Architect

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LivantaLLC

201 - 500 employees

Founded 2004

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

Livanta LLC is a technology-enabled organization dedicated to advancing healthcare quality through innovation. It specializes in providing services to patients, caregivers, healthcare providers, and payers, focusing on improving health outcomes, navigating healthcare systems, and ensuring payment accuracy. Livanta is recognized as the largest Medicare Quality Improvement Organization and offers a range of services including quality oversight, auditing, advocacy, and data analytics to enhance patient care and safety while managing healthcare costs effectively.

📋 Description

• Architect and lead end-to-end data solutions across cloud-native environments, primarily AWS and Databricks, covering ingestion, processing, storage, access, and governance • Define and maintain scalable architecture patterns and reference implementations for common data workflows and platform integrations • Translate business needs into scalable, sustainable, and secure data architectures with product and delivery teams • Produce and maintain solution diagrams, data flow models, design specifications, and other architecture documentation • Lead project initiation and discovery by shaping architectures, estimating effort, identifying risks, and guiding implementation strategy • Design data platform solutions for proposals, RFPs, and client engagements in support of Business Development • Align solution architecture with enterprise data strategy, security standards, and compliance frameworks including HIPAA, FedRAMP, and NIST • Partner with Data Engineers, Analytics Engineers, and Software Engineers to guide implementation and ensure architectural consistency • Conduct architecture reviews and technical validation for data-intensive projects and platforms • Provide mentorship and thought leadership across the Data Team • Perform other duties as assigned

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience • 8–10+ years of experience in solution architecture, data engineering, or platform engineering roles • Proven ability to architect and lead modern data platforms using AWS services including S3, Glue, Lambda, RDS, Redshift, and EMR; Databricks; and Spark • Familiarity with structured and unstructured data patterns, including streaming, batch processing, and real-time analytics • Strong understanding of data modeling, data governance, and metadata management • Experience designing secure, scalable APIs and data services for internal and external consumers • Fluency in architecture documentation and tools such as Lucidchart and Draw.io, including sequence, context, and data flow diagrams • Experience collaborating with cross-functional teams and translating technical concepts for non-technical stakeholders • Ability to lead solutioning efforts in pre-sales or discovery contexts • Strong working knowledge of compliance and security practices for sensitive data, especially in healthcare or government domains • Must be based in one of the listed states: Arizona, Arkansas, Colorado, Delaware, Florida, Georgia, Illinois, Indiana, Kansas, Kentucky, Massachusetts, Maryland, Michigan, Mississippi, Missouri, Montana, North Carolina, Nebraska, Nevada, New York, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, District of Columbia, Wisconsin, or West Virginia

🏖️ Benefits

• Remote work • Reasonable accommodations for individuals with disabilities • Equal employment opportunity and merit-based personnel processes

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