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Lead Platform Engineering to architect, deploy, and manage secure, scalable AWS cloud infrastructure using IaC, CI/CD, monitoring, automation, and container platforms; enforce AWS security governance; mentor engineers and collaborate on solution design.

Design, develop, and maintain scalable analytics solutions on the Looker BI Platform, focusing on LookML modeling and collaboration with data engineers and stakeholders.

The Data Modeler designs and maintains the Common Data Model and source-to-target mappings for healthcare data assets, working closely with engineers and clinical informaticists to ensure accuracy and integrity in data representation.

The Senior Platform Engineer will design and optimize infrastructure for GenAI and LLM workloads, manage GPU resources, and collaborate on deploying AI solutions.

Design and maintain scalable analytics solutions on Looker BI Platform, optimize data models, develop dashboards, and ensure governance and compliance with data standards.

The Senior Architect - Data will lead data engagements on GCP, manage data projects, design scalable data solutions, and mentor team members.

The Data Architect is responsible for designing data architecture, leading the creation of the Common Data Model, ensuring standards compliance, and handling high-volume data ingestion while collaborating closely with technical and governance teams.

The Associate Architect - Machine Learning role involves developing cloud ML solutions on AWS, fine-tuning LLMs, and collaborating with teams for optimal model implementation.

The Engagement Manager leads AI and Generative AI client programs, ensuring project delivery, stakeholder engagement, and account growth while managing technical teams.

Responsible for defining the testing strategy and infrastructure across the platform, including the development of a four-tier test framework and leading load testing campaigns. The role requires collaboration with data engineering teams and establishes QA strategies for data quality and testing frameworks.