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 current 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
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📌 Staff Data Platform Architect (New South Wales)
🏢 SwiftCruit
📍 New South Wales