Cloud Data Solutions Consultant

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Job Title:

Cloud Data Solutions Consultant

Department:

CCC | Information Technology

Job Summary:

The Cloud Data Solutions Analyst 4 plays a critical role in supporting cancer research through the design, development, and management of both on premises and advanced cloud-based data platforms. Functions as a senior-level cloud engineer and solutions architect, playing a pivotal role in enabling precision oncology and biomedical research through advanced a hybrid on prem and cloud based infrastructure. This role requires an in-depth understanding of distributed systems, hybrid and multi-cloud strategies and practices to support complex, data-intensive scientific workflows. This position serves as a technical leader and strategic partner in building scalable, secure, and high-performing infrastructures to support large-scale research data, AI-driven analytics, and bioinformatics workflows. The role requires deep expertise in Linux and Windows systems, cloud computing, and the ability to collaborate effectively with research scientists and cross-disciplinary teams. The analyst partners with researchers, bioinformaticians, and data scientists to provision elastic, fault-tolerant systems for genomic pipelines, AI/ML model inference, and large-scale data lake analytics, ensuring compliance with rigorous data governance and regulatory frameworks (HIPAA, NIST).

Key Responsibilities:

• Architect and implement secure, scalable, and high-performance on premises and cloud environments (AWS, Azure) to support cancer research applications and data pipelines.
• Support data integration, management, and analysis for large genomic, clinical, and imaging datasets. Including data protection and safeguarding of cancer research data.
• Collaborate with data scientists, bioinformaticians, and AI researchers to operationalize machine learning models and analytics workflows in the cloud and on premises.
• Maintain and troubleshoot Linux and Windows based hybrid of cloud and on premises infrastructure to ensure high availability, performance, and security.
• Lead incident response, root cause analysis (RCA), and continuous improvement cycles for research services.
• Guide adherence to compliance frameworks including HIPAA, NIST,  and institutional IRB protocols by implementing encryption-at-rest/in-transit, audit logging, vulnerability scanning, and DLP solutions.
• Monitor all infrastructure systems for compliance and up time.
• Lead the implementation of automation tools (e.g., Globus, Microsoft Orchestrator PowerShell, Bash, Python) to streamline infrastructure deployment and system administration.
• Provide cloud security and compliance guidance in alignment with HIPAA, NIST, and institutional data governance standards.
• Mentor junior staff and contribute to internal knowledge-sharing efforts.

Qualifications:

• Required : Bachelor's degree and a minimum of 6 years in IT infrastructure, cloud computing, or related field.
• Preferred Experience: 12+ years of experience in architecture and solutions development, especially in life sciences or academic research settings.

Domain-Specific Knowledge:

• Experience working with cancer research data, bioinformatics pipelines.
• Familiarity with research computing environments, high-performance computing (HPC), and data lakes used in medical or life sciences settings.