About The Position

The Azure Cloud Technical Lead will lead small-to-mid-size projects to scope, design, and implement solutions for US-based needs. The role includes gathering local business requirements and documenting them to support requested changes or propose new solutions. It involves hands-on technical work across a stack that includes Microsoft Azure, Data Factory, Python, Terraform, GitHub, PowerBI, and GCP-hosted SAS and Posit RStudio, as well as participation in technical aspects of product teamwork such as code practices, solution design, data sourcing, and engineering. The role also supports data platform operations by identifying and facilitating resolution of local issues, maintaining the data ecosystem according to established standards and processes, and continuously improving operations. The lead helps ensure the security, privacy, and compliance of data and processes in a highly regulated environment, including clinical and patient data, and works with cross-functional global teams and stakeholders.

Requirements

  • At least 5 years of experience.
  • At least 3 years of experience in cloud data platforms, reporting, and advanced analytics.
  • Proven experience with Microsoft Azure or Google Cloud.
  • Strong listening and communication skills.
  • Ability to work in a global environment.
  • Solution-oriented critical-thinking skills and an agile mindset.

Nice To Haves

  • Bachelor's degree in Computer Science, Data Science, Math, or a related discipline.
  • Cloud certifications, especially Microsoft Azure or Google Cloud certifications.
  • Pharmaceutical industry experience.
  • Technical experience with SQL, Informatica, Data Quality and Data Cataloging, MDM, Databricks, or Terraform.
  • Experience with R, Python, SAS programming, Linux, or Kubernetes.

Responsibilities

  • Lead small-to-mid-size projects to scope, design, and implement solutions for US-based needs.
  • Gather local requirements and document them to support implementation of requested changes or propose new solutions.
  • Apply hands-on technical skills to translate requirements into solutions using the technical stack.
  • Contribute to technical aspects of product teamwork, including code practices, solution design, data sourcing, and engineering.
  • Identify and facilitate resolution of local data platform issues.
  • Maintain the data ecosystem in an optimal operational state in accordance with established standards and processes, with a focus on continuous improvement.
  • Help ensure security, privacy, and compliance of data and processes in a highly regulated environment.
  • Work collaboratively and influentially in a cross-functional global environment.
  • Keep current with and leverage data technologies and concepts, and contribute to stakeholder roadmaps.
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