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Artificial Intelligence • Information Technology • Professional Services • Consulting
Designs and implements large-scale cloud data solutions, including data warehouses, data lakes, governance frameworks, and analytics platforms. The role analyzes requirements, develops solution architectures, estimates project delivery needs, and collaborates with stakeholders to ensure successful implementation. It focuses primarily on Azure technologies such as Synapse, Fabric, and Databricks, while leveraging machine learning, AI, and modern data architecture patterns. Strong communication, executive presentation, innovation, and escalation management skills are also required.
Artificial Intelligence • Information Technology • Professional Services • Consulting
Administer and optimize Microsoft SQL Server databases, ensuring availability, performance, security, backups, recovery, replication, and compliance. Manage database access and permissions, tune queries, maintain documentation, and support business intelligence through reporting dashboards and automated reports. The role also requires collaboration with business teams to meet reporting needs and ensure reliable database operations.
Artificial Intelligence • Information Technology • Professional Services • Consulting
Designs, builds, secures, and manages Azure cloud-native and hybrid platforms. The engineer deploys and supports client environments, contributes to technical roadmaps, implements secure enterprise solutions, provides cloud advisory services, and resolves operational issues. The role requires Azure cloud expertise, automation and CI/CD knowledge, identity management, networking, backup, configuration management, strong communication, independent prioritization, and familiarity with ITIL or Agile methodologies.
Artificial Intelligence • Information Technology • Professional Services • Consulting
Designs and delivers secure, scalable, resilient Azure cloud architectures for external clients. Responsibilities include translating requirements into technical designs, advising stakeholders, estimating project work, implementing automated Infrastructure-as-Code solutions, and supporting project delivery. The role also involves cloud engineering, DevOps and CI/CD practices, containerization, infrastructure strategy, escalation management, innovation, and communicating technical business value to executive and customer audiences.



