Job title:

Data Solutions Architect

As a Data Solutions Architect/Developer at Philips Healthcare – S&SD, you will play a pivotal role in designing and implementing robust data solutions that meet the evolving needs of our clients. You will collaborate closely with cross-functional teams to understand business requirements, architect scalable data architectures, and develop end-to-end data pipelines. You will leverage your expertise in data engineering, software development, and architecture to deliver high-quality solutions that drive measurable business value.

Key Areas of Responsibilities:

• Work closely with clients and internal stakeholders to gather requirements and define data solution architecture.

• Design and architect scalable, reliable, and high-performance data pipelines and systems.

• Develop and implement ETL (Extract, Transform, Load) processes to integrate data from multiple sources into data warehouses or data lakes.

• Build and maintain data models, ensuring data integrity, accuracy, and consistency.

• Collaborate with data scientists and analysts to implement machine learning models and algorithms into production systems.

• Optimize data solutions for performance, scalability, and cost-effectiveness.

• Stay updated on emerging technologies and best practices in data engineering and architecture.

• Optimize data solutions for performance, scalability, and cost-effectiveness.

• Stay updated on emerging technologies and best practices in data engineering and architecture.

Job Knowledge, Skills, Education and Experience Requirements:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

• 5+ years of experience as a data engineer, data architect, or software developer, with a focus on building data solutions.

• Experience with Python, .Net (Maui/Blazor Frameworks preferable)

• AWS Associate Level, or equitable, Required

• Azure Developer Associate, or equitable, Required

• Experience designing, documenting, and implementing data architecture and infrastructure solutions.

• Strong understanding of data modeling principles and techniques.

• Excellent documentation skills with the ability to clearly communicate complex technical concepts.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work effectively in a fast-paced and dynamic environment.

Additional skills and experience that are desirable:

• Preference to work GMT+6, GMT+5, or GMT+4 time zones.

• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).

• Knowledge of data visualization tools (e.g., Tableau, PowerBI).

• Experience with DevOps practices and tools (e.g., Git, Jenkins, Terraform).

Familiarity with agile development methodologies.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business.

• Discover our rich and exciting history.

• Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.