Philips Data Solutions Architect– & SD 

India, Tamil Nadu, Chennai 

160010401

Data Solutions Architect– S&SD

Job title:

Data Solutions Architect/Developer Role – S&SD

Key Areas of Responsibilities:

• Work closely with clients and internal stakeholders to gather requirements and define data solution architecture.
• Work to design and architecture of end-to-end software solutions, ensuring alignment with business objectives, scalability, and performance.
• Collaborate with stakeholders to gather and analyze requirements and translate them into technical specifications and architectural designs.
• Evaluate existing systems and technologies, identify areas for improvement, and propose innovative solutions.
• Develop prototypes and proof-of-concepts to validate architectural decisions and demonstrate feasibility.
• Define coding standards, best practices, and guidelines to ensure high-quality and maintainable software solutions.
• Provide technical guidance and mentorship to development teams, fostering a culture of excellence and continuous learning.
• Stay abreast of emerging technologies, industry trends, and best practices, and incorporate them into the architectural roadmap.
• Conduct architecture reviews, code reviews, and performance assessments to identify areas for optimization and enhancement.
• Collaborate with product managers, engineers, and other stakeholders to prioritize features, define technical requirements, and drive product development initiatives.

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 6+ (Maui/Blazor Frameworks preferable)
• AWS Solution Architect Associate or equitable
• AWS Developer Associate or equitable
• 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-7, GMT-6, or GMT-5 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.

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