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Role Overview: You will be the Lead, Solution Architect at Kenvue, responsible for designing and guiding the implementation of scalable, secure, and high-performance technology solutions aligned with business objectives. As a part of the Data Engineering team based in Bangalore, India, you will play a crucial role in driving the implementation and scaling of Data, Analytics & AI workloads across Azure, supporting businesses throughout their cloud transformation journey. 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 platforms 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 junior team members Qualification Required: - 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 experience with 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 Note: Total Rewards at Kenvue include salary, bonus (if applicable), and benefits. Kenvue is an Equal Opportunity Employer, committed to providing equal employment opportunities based on individual qualifications without regard to various characteristics. Role Overview: You will be the Lead, Solution Architect at Kenvue, responsible for designing and guiding the implementation of scalable, secure, and high-performance technology solutions aligned with business objectives. As a part of the Data Engineering team based in Bangalore, India, you will play a crucial role in driving the implementation and scaling of Data, Analytics & AI workloads across Azure, supporting businesses throughout their cloud transformation journey. 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 optimi
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