Data Architect

Job Description

Job Responsibilities:
u2022 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.
u2022 Handles the execution of complex data requests and queries, employing advanced analytical techniques to derive actionable insights and support decision-making processes effectively.
u2022 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.
u2022 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.
u2022 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.
u2022 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.

u2022 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.

u2022 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.

u2022 Possesses a comprehensive understanding of software development and design principles, which enables effective problem-solving and innovative solutions within the development team.

u2022 Engages with team-level stakeholders, including Senior Software Architects and the Product Owners, to ensure clear communication and effective collaboration throughout the project lifecycle.

u2022 Focuses on the integration and functionality of components within the larger system architecture, ensuring that each part contributes effectively to the overall system performance.

u2022 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.

u2022 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.

u2022 Ensures comprehensive, up-to-date, and usable documentation of the software architecture in compliance with regulatory standards and organizational processes.

u2022 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-endu00A0cloud-native data architecturesu00A0on AWS to support serviceability analytics, monitoring, and predictive insights.

• Develop scalableu00A0data pipelinesu00A0using AWS Glue, Lambda and other AWS services.

• Define workflow foru00A0data ingestion,u00A0cleansing,u00A0transformation, andu00A0storageu00A0using S3, Athena, Glue and other AWS services.

• Ensureu00A0data security,u00A0compliance, andu00A0governance.

• Implement robustu00A0monitoringu00A0andu00A0alerting mechanismsu00A0using CloudWatch and custom metrics for pipeline health and data quality.

• Contribute tou00A0cloud 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 withu00A0AWS S3,u00A0Lambda,u00A0Athena,u00A0S3,u00A0API Gateway,u00A0CloudFront,u00A0ECSu00A0andu00A0Glue.

• Solid understanding ofu00A0data modeling,u00A0partitioning strategies, andu00A0performance tuningu00A0in large datasets.

• Familiarity with tools likeu00A0CloudFormationu00A0for infrastructure automation.

• Proficiency inu00A0Pythonu00A0andu00A0SQL

• Knowledge ofu00A0serviceability domainu00A0use 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 companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations.

About Philips
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If youu2019re 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 .