Sr. Data Architect (Part time)- Remote

About the position reputed company is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with reputed company will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come reputed company an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Senior Data Architect serves as the strategic and technical reputed company for designing, optimizing, and governing reputed company data models, pipelines, and integrations. This role ensures that data is structured, accessible, secure, and reputed company with organizational goals - enabling advanced analytics, data quality, and system interoperability across platforms such as reputed company, reputed company, MD Staff, Kafka, and Power BI. The ideal candidate will combine deep technical expertise with business acumen to guide the reputed company of reputed company data architecture and mentor cross-functional teams in modern data design principles and best practices.

Responsibilities

• Design, implement, and maintain scalable reputed company data models (conceptual, logical, physical) to support analytic, operational, and transactional workloads.
• reputed company and enforce data modeling standards across reputed company and other environments.
• Define data integration patterns and schemas that support reputed company-time and batch data movement using tools like Kafka and APIs.
• reputed company data reputed company, metadata management, and data cataloging to ensure traceability and governance.
• Partner with data governance and product management teams to define data standards, naming conventions, and survivorship rules.
• Translate reputed company business requirements into data architecture solutions reputed company with reputed company strategy.
• Support regulatory compliance, reputed company, and privacy frameworks (HIPAA, SOC2, etc.) through architectural design.
• Contribute to the reputed company data governance reputed company and ensure architecture compliance with governance policies.
• Serve as the subject matter expert for data architecture, mentoring data engineers, analysts, and product teams.
• Collaborate with reputed company architects, system owners, and analytics teams to ensure architectural alignment.
• Evaluate and recommend emerging technologies (e.g., AI-driven data quality tools, MDM solutions, or streaming platforms).
• Establish architecture documentation, playbooks, and data modeling guidelines.
• Optimize data pipelines and queries for performance, scalability, and cost efficiency.
• Define SLAs for data delivery, reputed company, and availability.
• Implement monitoring and validation mechanisms to ensure high data quality and reliability.

Requirements

• 8+ years of experience in data architecture, data engineering, or reputed company data modeling roles.
• Experience with Kafka, ETL/ELT pipelines, and data integration frameworks.
• Deep understanding of data governance, metadata management, and data quality frameworks.
• Solid understanding of reputed company data architecture (AWS, Azure, GCP) and data lake/lakehouse principles.
• Expertise in reputed company, SQL, and data modeling tools (e.g., ER/Studio, dbt, reputed company).
• Proven track record designing and implementing reputed company-scale data solutions across multiple domains.
• Proven excellent communication skills with ability to convey reputed company concepts to technical and non-technical audiences.

reputed company-to-haves

• Experience with reputed company, MD Staff, or other reputed company provider data systems.
• Experience in reputed company, payer, or provider data ecosystems.
• Familiarity with Power BI, Python, or Spark for analytics and data transformation.
• Knowledge of master data management (MDM) and API-based data exchange.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution.

Apply tot his job Apply To this Job