Sr. Data Architect (Part time)- Remote
About the positionResponsibilities• Design, implement, and maintain scalable enterprise data models (conceptual, logical, physical) to support analytic, operational, and transactional workloads. • Develop and enforce data modeling standards across Snowflake and other environments. • Define data integration patterns and schemas that support real-time and batch data movement using tools like Kafka and APIs. • Oversee data lineage, 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 complex business requirements into data architecture solutions aligned with enterprise strategy. • Support regulatory compliance, security, and privacy frameworks (HIPAA, SOC2, etc.) through architectural design. • Contribute to the enterprise data governance framework 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 enterprise 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, integrity, 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 enterprise 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 cloud data architecture (AWS, Azure, GCP) and data lake/lakehouse principles. • Expertise in Snowflake, SQL, and data modeling tools (e.g., ER/Studio, dbt, Lucidchart). • Proven track record designing and implementing enterprise-scale data solutions across multiple domains.• Proven excellent communication skills with ability to convey complex concepts to technical and non-technical audiences. Nice-to-haves• Experience with Salesforce, MD Staff, or other healthcare provider data systems. • Experience in healthcare, 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