Senior Data Architect

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🔥 39 minutes ago

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Stellus Rx

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2022

🏥 Healthcare

💊 Pharmaceuticals

🤝 B2B

Healthcare • Pharmaceuticals • B2B

Stellus Rx is a pharmacist-led clinical pharmacy and digital pharmacy services company that delivers medication access, education, adherence and dispensing support for patients, providers, risk-bearing entities and employer groups. The company emphasizes tailored, pharmacist-driven care (personal pharmacists, condition-specific education, coordinated physician communication), home delivery and convenience packaging, plus white-labeled adherence solutions (Stellus Adhere, Stellus Engage) that integrate with clinical workflows and payer data to drive Medicare Advantage star performance and reduced total cost of care. Stellus Rx holds URAC Pharmacy Services and NBAP Digital Pharmacy accreditations and positions itself as a partner to value-based care platforms and employers to improve outcomes, experience and costs.

📋 Description

• Define and maintain enterprise data architecture standards across structured, semi-structured, and unstructured data domains. • Use AI-assisted modeling tools to accelerate data model design and validate designs against business requirements. • Design and govern the organization's cloud data lake, data warehouse, and lakehouse architectures on AWS. • Establish data ontology, taxonomy, and semantic layer standards that enable AI systems to reason over organizational data accurately. • Evaluate emerging data architecture patterns and build a roadmap for their adoption across Stellus Rx. • Design scalable data models and ELT/ETL pipeline architectures that support analytics and AI/ML workloads. • Define standards for data partitioning, indexing, caching, and storage optimization. • Partner with Data Engineers to translate architectural blueprints into production-ready pipelines. • Define and enforce data governance frameworks, data quality standards, and data contracts across the enterprise. • Develop and maintain a master data management (MDM) strategy.

🎯 Requirements

• 7+ years of experience in data architecture, data engineering, or a closely related field. • 3+ years of experience designing enterprise-scale data platforms in cloud environments (AWS strongly preferred). • Demonstrated, hands-on experience using AI tools to accelerate data architecture design, automate data quality, or enable AI/ML workloads. • Deep expertise in data modeling techniques including dimensional modeling, data vault, and lakehouse patterns. • Strong knowledge of ELT/ETL pipeline architecture and workflow orchestration (Airflow or similar). • Experience with cloud data platforms such as AWS Redshift, S3, Glue, Athena, or equivalents. • Proficiency in SQL and at least one scripting language (Python preferred). • Experience with relational and NoSQL databases; familiarity with vector databases a plus. • Strong understanding of data governance, data quality frameworks, and MDM principles. • Familiarity with healthcare data compliance requirements (HIPAA, SOC 2). • Excellent communication skills with the ability to convey complex architectural concepts to technical and non-technical audiences. • Bachelor's or graduate degree in Computer Science, Information Systems, Statistics, or a related quantitative field. • High English proficiency, written and verbal.

🏖️ Benefits

• Fully Remote • Professional development opportunities