Data Architect

Philips; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Philips is seeking a Data Architect to design cloud-native data architectures on AWS to support serviceability analytics and predictive insights. You will develop scalable data pipelines using AWS Glue, Lambda, and related services, defining workflows for ingestion, cleansing, transformation, and storage using S3, Athena, and Glue.

Responsibilities include ensuring data security, governance, and compliance, implementing monitoring/alerts for pipeline health, and contributing to cloud

Qualifications

• Bachelor's or Master’s degree in data analytics, statistics, mathematics, computer science or equivalent.
• Minimum 8+ years of experience in software development, design and architecture or related fields.
• Experience designing cloud-native data architectures on AWS for analytics and governance.

Responsibilities

• Design end-to-end cloud-native data architectures on AWS for serviceability analytics and monitoring.
• Develop scalable data pipelines using AWS Glue, Lambda, and related services.
• Define ingestion, cleansing, transformation, and storage workflows using S3, Athena, Glue, etc.
• Ensure data security, governance, and compliance across pipelines.
• Implement monitoring and alerting for pipeline health and data quality.

Skills

AWS S3

AWS Lambda

AWS Athena

API Gateway

CloudFront

ECS

Glue

Python

SQL

Data Modeling

Performance Tuning

Data Governance

Data Quality

CloudFormation

Education

Bachelor's or Master’s in Data Analytics/CS/Mathematics

Tools

CloudFormation

Job description

Job Title

Data Architect

Job Responsibilities

• Executes robust data strategies, adapting them to align with evolving business requirements and operational needs while coordinating with cross-functional teams to ensure strategic alignment and feasibility, working under limited supervision.
• Handles the execution of complex data requests and queries, employing advanced analytical techniques to derive actionable insights and support decision-making processes effectively.
• Helps to safeguard the integrity of data outputs and reports through rigorous verification, validation, and adherence to established quality standards, implementing data quality frameworks and monitoring data health metrics proactively.
• Optimizes scalable data pipeline architectures, assembling and managing extensive datasets crucial for Post Market Analytics and other strategic initiatives, implementing best practices for data ingestion, transformation, and storage.
• Documents and ensures compliance with comprehensive statistical-based trending procedures, maintaining transparency and readiness for regulatory audits, and developing and maintaining documentation of data processes, methodologies, and compliance measures.
• Handles end-to-end data processes with a focus on accuracy, consistency, and integrity, optimizing system designs and business logic rules for operational efficiency, and overseeing data loading, maintenance, and performance tuning activities.
• Collaborates with the scrum team to finalize the design of user stories, ensuring they align with the overall architecture and development goals, and takes part in code reviews and maintaining code quality.
• Provides continuous guidance and coaching to the scrum team on design knowledge and best practices, and might participate in code development activities to uphold high standards of software quality.
• Possesses a comprehensive understanding of software development and design principles, which enables effective problem-solving and innovative solutions within the development team.
• Engages with team-level stakeholders, including Senior Software Architects and the Product Owners, to ensure clear communication and effective collaboration throughout the project lifecycle.
• Focuses on the integration and functionality of components within the larger system architecture, ensuring that each part contributes effectively to the overall system performance.
• Plans Program Increments (PI) with a typical time horizon of three months, which involves detailed scheduling, resource allocation, and strategic progress towards achieving development targets.
• Holds responsibility for architecture and requirements at the feature level, ensuring they meet the desired outcomes, quality standards, and stakeholder expectations within the broader project context.
• Ensures comprehensive, up-to-date, and usable documentation of the software architecture in compliance with regulatory standards and organizational processes.
• Understands and effectively applies the development logic of the I2M architecture and platform creation process, ensuring seamless interfacing with Application Development (AD) and Product Data Lifecycle Management (PDLM) suites.

Key Responsibilities

• Design and implement end-to-end cloud-native data architectures on AWS to support serviceability analytics, monitoring, and predictive insights.
• Develop scalable data pipelines using AWS Glue, Lambda and other AWS services.
• Define workflow for data ingestion, cleansing, transformation, and storage using S3, Athena, Glue and other AWS services.
• Ensure data security, compliance, and governance.
• Implement robust monitoring and alerting mechanisms using CloudWatch and custom metrics for pipeline health and data quality.
• Contribute to cloud optimization, cost control, and architectural design reviews.

Minimum Required Education

Bachelor's / Master's Degree in Data Analytics, Statistical Techniques, Mathematics, Computer Science or equivalent.

Minimum Required Experience

Minimum 8+ years of experience with Bachelor's in areas such as Software Development, Software Design and Architecture, Testing and Quality Assurance or equivalent

Preferred Skills

• Strong hands-on experience with AWS S3, Lambda, Athena, S3, API Gateway, CloudFront, ECS and Glue.
• Solid understanding of data modeling, partitioning strategies, and performance tuning in large datasets.
• Familiarity with tools like CloudFormation for infrastructure automation.
• Proficiency in Python and SQL
• Knowledge of serviceability domain use cases such as diagnostics, telemetry, and predictive service operations is a plus.
• Strong communication and stakeholder management skills.
• Data Analysis & Interpretation
• Data Governance
• Data Harmonization & Processing
• Data Quality Assurance
• Statistical Methods
• Statistical Programming Software
• Business Intelligence Tools
• Regulatory Compliance

How We Work Together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full‑time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

About Philips

Are you ready to do the work of your life to help the lives of others? Learn more about our business, discover our rich and exciting history and learn more about our purpose.