Sr Data Platform Architect
Thermo Fisher Scientific

Job Info

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Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them.

How will you make an impact?

Design and Architecture:

• Architect and develop robust frameworks for efficiently onboarding new users, user groups, and security configuration onto the Databricks Platform and Unity Catalog.
  
• Design and implement security control processes tailored for integrating new data and users, ensuring compliant.
  
• Build scalable and maintainable architectures that support the evolving needs of our data workflows and analytics processes on the platform.
  

Automation and Operational Excellence:

• Own the automation of Databricks workspaces, Unity Catalog configurations, cluster policy creation, and management, using Infrastructure as Code (IaC) tools such as Terraform.
  
• Develop and maintain automation scripts and tools to streamline operations and reduce manual overhead in the deployment and management of Databricks environments.
  
• Provide support on Databricks platform security, configuration, and address issues acting as a go-to resource for internal teams.
  

Teamwork and Leadership:

• Work closely with data engineering, data science, and IT security teams to define standard processes for the use of the platform.
  
• Advocate for and implement standard processes in data management, security, and governance within the Databricks ecosystem.
  
• Lead by example, mentoring junior team members and encouraging a culture of technical excellence and innovation.
  

How will you get here?

Education:

Bachelors degree in computer science or related field preferred.

Experience

• Demonstrable experience with the Databricks platform, including Databricks SQL, Delta Lake, and the Unity Catalog.
  
• Solid grasp of cloud infrastructure and services, preferably with experience in AWS
  
• Knowledge of Microsoft Fabric Platform and Immuta security platform for sophisticated data governance and privacy management.
  
• Excellent problem-solving skills and the ability to design and implement scalable, high-performance data solutions.
  
• Proven background in data architecture, data modeling, and data governance principles.
  
• Proficiency in automation and configuration management tools, particularly Terraform.
  
• Strong leadership capabilities
  
• Ability to work across different teams and levels of the organization.
  
• Results oriented with a laser focus on accountability.

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