[Hiring] Senior Data Architect @Stellus Rx

Role Description

We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Join our group of talented, committed team members - pharmacists, pharmacy care coordinators, technologists, product strategists and more - to create and expand the delivery of personalized health support that people didn't even know could be possible.

The Senior Data Architect for Stellus Rx will be a key member of our Technology Team, working closely with Stellus Rx leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate.

This role is built for a data architect who actively uses AI to design smarter data systems, accelerate architectural decision-making, and build the data foundations that enable AI and machine learning to thrive across the organization.

Qualifications

• 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.

Requirements

• Hands-on experience designing data infrastructure for AI/ML workloads, including feature stores, vector databases, or RAG pipelines.
• Familiarity with AI-powered data observability platforms (e.g., Monte Carlo, Soda, or similar).
• Experience with healthcare data standards including FHIR and HL7.
• Experience with real-time streaming architectures (Kafka, Kinesis, or similar).
• Relevant certifications: AWS Certified Data Analytics, AWS Solutions Architect, or DAMA CDMP.
• Bilingual — Spanish and English.
• MBA or advanced degree.

Company Description