Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

About the Company

Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of more than $40 billion and approximately 1,20,000 employees globally. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. We help our customers accelerate life sciences research, solve sophisticated analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory efficiency.

About Team

AAD team aids businesses in Thermo Fisher Scientific with AI, Automation, and Data solutions for efficiency and insights.

What You Will Do:

Develop and implement secure, scalable data solutions using AWS and Databricks, ensuring flawless integration across enterprise data layers. Establish data governance and security standard methodologies, lead adoption of cloud-based architectures, and collaborate with teams to drive innovation in data integration and self-service analytics.

How You Will Get Here:

BS/MS in Computer Science, Information Systems, or equivalent experience.9 or more years of industry experience in data architecture, data engineering, or cloud-based data solutions.4 or more years of demonstrated ability in solutions, including AWS S3, Redshift, Glue, Lambda, EMR, Kinesis, Athena, PySpark, Python, and SQL for data processing, ETL/ELT data transformationGood experience in Databricks, building scalable data pipelines, optimizing Delta Lake storage, and implementing security controls.Expertise in AWS services, cloud security standard processes, IAM roles and policies, encryption strategies, and compliance frameworks (e.g., GDPR, HIPAA).Experience in working on initiatives related to AI and DataGood knowledge of data governance frameworks, including AWS Lake Formation, Unity Catalog, and data lineage tracking.Proficiency in CI/CD practices for data solutions using Github, GHA and Terraform.Experience implementing real-time and batch data processing solutions using Kafka, Kinesis, or Spark Streaming.Strong problem-solving skills with experience in debugging, performance tuning, and cost optimization in cloud environments.

Non-Technical Qualifications:

Strong leadership skills with the ability to influence technical decisions and guide teams toward scalable data solutions.Outstanding interpersonal skills to translate sophisticated technical concepts into business-aligned solutions.Proven ability to work cross-functionally with collaborators across IT, business, and security teams.Experience in writing technical documentation, architecture diagrams, and standard methodology guides.Passion for continuous learning, innovation, and staying ahead of evolving cloud and data technologies.

Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.