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在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。
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我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.
Role reports to：
Digital Solutions Manager位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
Lead- Data Solutions and Analytics
This position reports to Manager , Digital Solutions and is based at Bengaluru, IN
Who we are
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.
Role reports to: Manager, Digital Solutions
Location: Bengaluru, IN
What you will do
As a Lead – Data Solution and Analytics , you will Lead a team responsible for the build, support, and optimization modern data solutions and analytical products across the Azure Data Platform. You’ll design and manage robust data pipelines (Azure Data Factory, Azure Databricks, Data Lake, Spark.SQL), SQL development and Data Analysis. You will collaborate closely with business stakeholders, data engineers, and data scientists to maintain reliable, secure, and scalable data products that drive decision-making—particularly within Supply Chain and CPG contexts.
Note: This role includes production support, monitoring, and potential rotational shift coverage (including night shifts if required).
Key Responsibilities:
· Design, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure.
· Build, scale, and harden data pipelines (internal & external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL.
Deploy data pipelines into production environments by enriching the model with data stored in a Data Lakes or coming directly from data sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
Create reusable SQL scripts for reporting, data validation, and ETL processes.
Design, develop, and optimize complex SQL/T-SQL queries, stored procedures, and performance tuning for large-scale datasets.
Perform data profiling, cleansing, and validation to ensure accuracy and reliability.
Develop data models and analytical frameworks to support reporting and decision-making.
Mentor and Build a Data Engineering Support team composed of Data Engineering Resources
· Own automation, observability, and monitoring frameworks—capturing operational KPIs and data quality metrics; set up alerting and runbooks.
· Monitor performance & stability, triage incidents, and adapt pipelines as data/models/requirements evolve.
· Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance.
Work with the Data Asset and Capability teams to identify the right data sources and understand and build and support the data architectures for optimal data extraction and transformation for key business processes.
Test the reliability and performance of data engineering pipelines and support testing team with data validation activities
Partner with various Azure Engineering subject matter experts including project Managers and business team to scope and build customer facing content, modules, tools and proof of concepts
Research and cultivate in state-of-the-art data engineering methodologies, drive product innovation, and act as an Azure subject matter expert for other engineers
· Apply DevOps/DataOps/Agile methodologies; manage version control (Git/Bitbucket) and CI/CD pipelines (Azure DevOps/Jenkins) for data and BI assets.
Must have Time Management, Problem-Solving & Critical Thinking skills.
Must have presentation and stakeholder management skills
Leadership & People Management is mandatory.
Required Qualifications
· Bachelor’s degree in Engineering, Computer Science, Data Analytics, IT, or related field.
· 6-8 years of relevant experience across Azure Data Engineering and Power BI.
· Hands-on expertise with:
o Azure Databricks (PySpark/Spark SQL), Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL
o Data modelling, Performance Tuning
o SQL/T-SQL (complex queries, stored procedures)
Experience of leading a Data Engineering team
Good scripting, data modeling and programming skills
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
Desired Qualifications
· Certifications:
o Microsoft Certified: Azure Data Engineer Associate (DP-203)
o Databricks Data Engineer Associate/Professional
Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines
· Experience with migration & modernization (from legacy ETL/BI to Azure-native).
· Preferred CPG/Supply Chain domain expertise.
Experience with data visualization tools (Power BI preferred).
Experience in the architecture and design of services using Azure architecture is a plus
What’s in it for you
· Competitive Total Rewards Package*
· Paid Company Holidays, Paid Vacation, Volunteer Time & More!
Learning & Development Opportunities
Employee Resource Groups
*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
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