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 Responsibilties

• Design and implement end-to-endcloud-native data architectureson AWS to support serviceability analytics monitoring and predictive insights.

• Develop scalabledata pipelinesusing AWS Glue Lambda and other AWS services.

• Define workflow fordata ingestioncleansingtransformation andstorageusing S3 Athena Glue and other AWS services.

• Ensuredata securitycompliance andgovernance.

• Implement robustmonitoringandalerting mechanismsusing CloudWatch and custom metrics for pipeline health and data quality.

• Contribute tocloud optimization cost control and architectural design reviews.

Minimum required Education:

Bachelors / Masters Degree in Data Analytics Statistical Techniques Mathematics Computer Science or equivalent.

Minimum required Experience:
Minimum 8 years of experience with Bachelors in areas such as Software Development Software Design and Architecture Testing and Quality Assurance or equivalent

Preferred Skills:

• Strong hands-on experience withAWS S3LambdaAthenaS3API GatewayCloudFrontECSandGlue.

• Solid understanding ofdata modelingpartitioning strategies andperformance tuningin large datasets.

• Familiarity with tools likeCloudFormationfor infrastructure automation.

• Proficiency inPythonandSQL

• Knowledge ofserviceability domainuse 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 companys facilities. Field roles are most effectively done outside of the companys 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.
If youre 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 culture of impact with care.