Lead, Solution Architect

Was wir tun

Bei Kenvue erkennen wir die außergewöhnliche Kraft der täglichen Pflege. Aufbauend auf über einem Jahrhundert Tradition und verwurzelt in der Wissenschaft, sind wir das Haus der ikonischen Marken - darunter NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE®, JOHNSON'S® und BAND-AID®, die Sie bereits kennen und lieben. Wissenschaft ist unsere Leidenschaft; Fürsorge ist unser Talent.

Wer wir sind

Unser globales Team besteht aus ~ 22.000 brillanten Mitarbeitern mit einer Arbeitsplatzkultur, in der jede Stimme zählt und jeder Beitrag geschätzt wird. Wir sind leidenschaftlich an Erkenntnissen interessiert, Innovation und dem Engagement, unseren Kunden die besten Produkte zu liefern. Mit Fachwissen und Einfühlungsvermögen bedeutet ein Kenvuer zu sein, die Macht zu haben, jeden Tag Millionen von Menschen zu beeinflussen. Wir stellen den Menschen an die erste Stelle, kümmern uns leidenschaftlich, gewinnen Vertrauen in der Wissenschaft und lösen Lösungen mit Mut – und haben brillante Möglichkeiten, die auf Sie warten! Gestalten Sie mit uns unsere Zukunft – und Ihre. Für weitere Informationen, klicken Sie auf hier.

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Was Sie tun werden

About Kenvue:

Kenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson’s®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers’ hands and earn a place in their hearts and homes.

Kenvue is currently recruiting for:  

Lead, Solution Architect

This position reports to the Manager, Data Engineering and is based at Bangalore, India. 

What you will do: 

As the Lead, Solution Architect, you will be responsible for designing and guiding the implementation of scalable, secure, and high-performance technology solutions aligned with business objectives. 

Key Responsibilities:

• Serve as a Subject Matter Expert in Azure Data, Analytics, and AI
• Drive the implementation and scaling of Data, Analytics & AI workloads across Azure, supporting businesses throughout their cloud transformation journey.
• Collaborate with engineering, business, and project management teams to scope, design, and deliver customer-facing solutions, tools, and proof-of-concepts.
• Design, develop, and manage scalable data integration tools, warehouses, and analytics systems using modern data engineering practices.
• Create and automate complex data processing scripts, queries, and operational workflows to optimize data utilization.
• Lead the deployment of data models into production environments, including data ingestion, monitoring setup, and compute management.
• Monitor system performance and data pipelines, adapting solutions to evolving models, data sources, and business requirements.
• Partner with enterprise architects and stakeholders to evolve the data platform’s maturity, ensuring cost optimization and architectural excellence.
• Support cross-functional teams in prototyping, scaling experiments, and standardizing reusable assets, fostering innovation and knowledge sharing.
• Champion best practices in DevOps, DataOps, and Agile to enhance performance, consistency, and model production workflows.
• Stay current with Azure/cloud advancements to lead experimentation, coach teams, and enhance platform capabilities.
• Mentor and train colleagues junior team members  

What We Are Looking For

Required Qualifications:

• Bachelor's degree in engineering, computer science, or related field. 
• 6 – 8 years of work experience with at least 4 years of experience as a Cloud Technology based – Solution Architect
• Strong experience in architecture design, cloud modernization, and migration strategies.
• Domain expertise in consumer/Supply Chain data, including External Third-Party Data 
• Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, Data Lake, Synapse, Databricks (Pyspark) 
• Good scripting, data modeling and programming skills 
• Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality.
• Hands- on different tools for Data Engineering (Databricks, SQL),  Data science (Azure ML, Knowledge of different DS models), DevOps tools and languages like Python or Dotnet.
• Develop and optimize procedures to “Productionalize” data science models.
• Manage & support large-scale experimentation done by data scientists.
• Design and prototype new approaches and build solutions at scale.
• Understanding of cloud architecture principles and best practices 
• Experience in the design and build of end-to-end solutions that meet business requirements and adhere to scalability, reliability, and security standards 
• Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines 
• Exceptional communication and Influencing skills; ability to share ideas in a compelling manner that gains commitment from others
• Excellent leadership and project management skills.
• Good knowledge of Agile principles and process. 

Desired Qualifications:

• Subject matter expertise on Azure Data, Analytics & AI with experience Azure architecture design 
• Good understanding of migration and modernization strategies and approaches
• Preferred Industry experience in Manufacturing & Consumer Products

What’s in it for you:

• Competitive Total Rewards Package 
• Paid Company Holidays, Paid Vacation, Volunteer Time & More! 
• Learning & Development Opportunities 
• Employee Resource Groups
• This list could vary based on location / region 

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