About the role

Aplyr's Quick Take

This role is about designing and optimizing cloud-based data platforms that support AI and analytics initiatives. It's a senior-level, individual contributor position focused on architecture and engineering rather than management. You'll be working with AWS and Databricks to ensure data systems are efficient and reliable.

Good fit

Ideal candidates have over 10 years of experience in data architecture, with at least 5 years specifically in cloud environments. A strong background in AWS and hands-on skills in data processing tools like SQL and Python are essential, along with a proactive, problem-solving work style.

Worth noting

The role emphasizes cost optimization and performance tuning, which may appeal to those who enjoy fine-tuning systems for efficiency. However, the posting lacks details on team dynamics and collaboration, which could be a concern for some candidates.

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Description

We are looking for an experienced Data Platform Architect to design, build, and optimize scalable data platforms that power AI, analytics, and automation initiatives. This role will be responsible for architecting robust cloud-based data ecosystems, ensuring performance, cost efficiency, and reliability across enterprise data platforms.

Experience Required

10+ years of overall professional experience
5+ years of experience as a Data Platform Architect (AWS, DataBricks, DevOps) or similar role

Key Responsibilities

Define and implement the architecture for scalable data platforms supporting analytics, AI, and automation use cases
Design and optimize data pipelines, data lakes, and data warehouses on cloud platforms
Lead platform engineering efforts on AWS, DataBricks, DevOps environments
Ensure high availability, scalability, performance, and security of data platforms
Drive cloud cost optimization strategies and monitor usage efficiency
Continuously improve system performance, reliability, and throughput
Collaborate with cloud vendors to adopt new features and best practices
Establish and maintain version control, data backup, and disaster recovery strategies
Enable seamless integration of data engineering, AI/ML, and automation workflows
Support governance, compliance, and data quality frameworks

Required Skills & Qualifications

Strong expertise in AWS cloud services related to data engineering, AI, and automation
Hands-on experience with Databricks platform (development and support)
Strong experience in designing scalable data processing and pipeline architectures
Proven experience in cloud cost optimization and performance tuning
Experience in managing scalable computing environments in cloud
Hands-on experience with:
- SQL
- Python
- R
Experience with version control systems (e.g., Git) and data backup strategies
Strong understanding of distributed computing and big data technologies
Excellent problem-solving and analytical skills

Data Visualization & Monitoring

Hands-on experience with Power BI and/or Tableau
Ability to build dashboards for monitoring platform performance and application quality metrics

Preferred Qualifications

Experience with DevOps practices and tools (GitHub, GitHub Actions)
Experience supporting and optimizing Databricks platforms at scale
Exposure to AI/ML initiatives and integration with data platforms
Exposure to Microsoft Power BI capacity platform support.
Relevant cloud or data platform certifications (AWS, Databricks, etc.)
Familiarity with data governance frameworks, security best practices, and regulatory compliance (e.g., GxP, GDPR, HIPAA).
Internal integration/external integration with data. Standardize integration process.

Key Competencies

Strong architectural thinking and system design skills
Performance optimization and cost efficiency mindset
Ability to manage complex, large-scale data platforms
Strong collaboration with cross-functional teams
Continuous learning and adoption of new technologies

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field

Why Join Us

Opportunity to architect next-generation data platforms
Work on cutting-edge data, AI, and automation initiatives
Collaborative and innovation-driven environment
Strong career growth opportunities

Skills & Tags

data

Aplyr's read

Thermo Fisher Scientific is a powerhouse in biotechnology, attracting professionals passionate about advancing scientific research and innovation across diverse roles and regions.
Synthesized from recent postings & public sources

What's promising

•Thermo Fisher is a leader in the biotech industry, offering stability and growth potential.
•The company invests heavily in R&D, fostering innovation and cutting-edge solutions.
•Global presence provides diverse career opportunities across multiple regions and disciplines.

What to watch

•High pressure and fast-paced environment may not suit everyone.
•Complex organizational structure can lead to communication challenges.
•Frequent acquisitions may result in uncertainty and change for employees.

Why Thermo Fisher

•Thermo Fisher's broad product portfolio spans laboratory equipment to clinical diagnostics.
•The company plays a crucial role in global scientific advancements and healthcare solutions.
•Strong focus on sustainability and corporate responsibility sets it apart in the industry.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Thermo Fisher

Thermo Fisher

thermofisher.com

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Thermo Fisher Scientific is a global leader in serving science, providing a range of products and services to help researchers and scientists in laboratories and clinical settings.