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Research Technology & Cloud Solutions Architect
RemoteSource: WhatJobs
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Overview
In this role you will translate research needs into secure, scalable Oracle-based solutions and guide architecture, cloud adoption, analytics, and AI-enabled delivery. You’ll collaborate with Oracle Health Cloud Engineering, IT, security, and governance teams to ensure enterprise-aligned implementations. You will design and migrate analytics platforms, data workflows, and modernized applications while assessing feasibility, security, and operational impact. This position offers impact across research, engineering, and health analytics within a large enterprise cloud environment.
Pay / Benefits
flexible medical coverage
life insurance
retirement options
volunteer programs
inclusive hiring practices
accommodations for disabilities
Responsibilities
Design technical solutions for research, analytics, data science and operational use cases
Translate business requirements into architectures, implementation plans and documentation
Design and implement solutions using Oracle Cloud Infrastructure services (Autonomous Database, APEX, Analytics Cloud, OCI Data Science)
Support migration and modernization of legacy applications, databases, dashboards and analytics environments
Evaluate feasibility, delivery effort, cost, security, and risk
Guide research teams on cloud adoption, automation, analytics, and AI-enabled solutions
Coordinate with engineering and infrastructure on provisioning, networking, IAM, architecture reviews and release dependencies
Ensure compliance with Oracle Health security, privacy, governance and data-handling requirements
Support ongoing operation, enhancement and troubleshooting of platforms
Evaluate third-party technology needs and recommend tool retention, replacement, or retirement
Key requirements
5–10+ years of cloud/solution architecture or related experience
Experience designing and delivering cloud-based technology solutions
Ability to translate complex requirements into practical designs
Experience with databases, analytics platforms, dashboards, data workflows, automation or cloud migration
Knowledge of cloud architecture principles, security, networking, IAM, and RBAC
Understanding of enterprise security, privacy, governance and data-management requirements
Familiarity with research, analytics, reporting, data science or applied AI environments
Proficiency in at least one language/tech (Python, R, SQL, PL/SQL, SAS, SPSS)
Strong written, verbal and stakeholder-management skills
Ability to communicate technical concepts to technical and non-technical audiences
Experience working across research, business, engineering, security, governance and delivery teams
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