Lead Cloud Architect

About the role

Become a part of our caring community Humana is seeking a Lead Cloud Architect with deep expertise in Azure Databricks, PySpark, and related Azure data services. This role will lead the design, implementation, and governance of secure, scalable data solutions that drive business insights and innovation.

Responsibilities

• Arcitect, design, and implement advanced data products leveraging Azure Databricks, PySpark, and Apache Spark for large-scale data processing and machine learning opportunities.
• Develop secure, scalable ETL/ELT pipelines using PySpark, integrating with Azure Data Factory, Event Hubs, Data Explorer, and other Azure services.
• Ensure compliance with Humana’s cloud security controls and enterprise information protection (EIP) standards, including cluster configuration, data encryption, access management, and DDoS protection.
• Lead technical evaluations, proof-of-concepts, and solution design for new data workloads, with emphasis on performance optimization and reliability.
• Provide architectural guidance and mentorship to data engineers, scientists, and business stakeholders, promoting best practices for collaborative analytics development in Databricks notebooks and workflows.
• Develop and maintain architectural documentation, standards, and governance processes in alignment with Humana’s technology strategies.
• Cookordination incident response and remediation for cloud data platforms, partnering with security, infrastructure, and compliance teams.
• Stay current with industry trends and Azure technology updates, proactively identifying improvements to Humana’s cloud analytics ecosystem.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
• 8+ years of experience in cloud architecture, with at least 4 years specializing in Azure Databricks and PySpark.
• Proven expertise in designing and securing big data pipelines and analytics platforms in Azure.
• Strong knowledge of Azure security controls, including DDoS Protection, data encryption, and access management.
• Experience integrating Databricks with Azure Data Factory, Event Hubs, Data Explorer, and other Azure services.
• Demonstrated ability to lead complex technical projects and communicate effectively with technical and non-technical stakeholders.
• Advanced skills in Python, PySpark, and Spark SQL.
• Familiarity with healthcare industry data privacy and compliance requirements (HIPAA, HITRUST, etc.) is a plus.

Preferred Qualifications

• Azure Solutions Architect certification.
• Experience with cloud cost optimization and performance tuning.
• Knowledge of real-time data streaming, telemetry, and advanced analytics.
• Experience with enterprise-scale deployments and governance in regulated environments.