Teams at Client Server Technology Group

Build and maintain data pipelines and platform components for analytics, machine learning, and AI workloads. Implement ingestion, transformation, orchestration, testing, validation, deployment, monitoring, and troubleshooting tasks under experienced guidance. Collaborate with consultants and clients, participate in design discussions, code reviews, and agile ceremonies, document work, communicate progress, and develop foundational data engineering expertise.

Supports the development, testing, documentation, and production delivery of AI and machine learning solutions, including generative AI and agent-based applications. Works with data and application engineers to build AI workflows, evaluate outputs, address data quality concerns, follow responsible AI practices, and maintain code quality. The role involves client collaboration with guidance, participation in reviews, and continued development of AI, machine learning, data engineering, and production delivery skills.

Develops enterprise and mid-market sales opportunities for Databricks data, AI, analytics, and cloud modernization services. Builds executive relationships, leads prospecting and discovery, manages partner co-sell motions with Databricks, AWS, and Azure, supports proposals and client workshops, maintains Salesforce pipeline data, and provides forecasts and market intelligence to leadership.