Lead Data Engineer

Lead Data Engineer

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® that you already know and love. Science is our passion; care is our talent.

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are 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 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.

Role reports to: Manager, Data Solutions

Location: Asia Pacific, India, Karnataka, Bangalore

Work Location: Hybrid

In This Role

The Lead Data Engineer for the Customer 360 Data Product will spearhead technology and data initiatives aimed at enhancing business value and outcomes within the Customer & Sales data domain. This individual will be responsible for proposing and implementing integration protocols, data acquisition and ingestion processes, business curation, and establishing a consistent Common Data Model. Additionally, they will enable teams to analyze large datasets effectively.

Responsibilities

• Techno-Functional Expertise: Serve as a bridge between technical and functional teams, ensuring that data initiatives align with business objectives and technical requirements.
• Collaborate on Data Strategy: Work closely with Data Products and Solution teams to identify and prioritize data requirements, defining the Customer data strategy for key Use Cases.
• Hands-On Data Activities: Engage in hands-on activities related to data integration, data operations processes, and data engineering logic, contributing to the execution of prioritized Use Case Solutions in the customer data domain.
• Data Product Governance: Collaborate with business data owners and regional partners to establish and maintain data governance frameworks, ensuring alignment with organizational goals.
• Design & Build Data Capabilities: Identify and recommend methodologies and tools for building data capabilities that meet business needs, ensuring efficient scalability, flexibility, and performance.
• Data as a Product Accountability: Ensure high data quality standards, including completeness, harmonization, standardization, documentation, accessibility, usability, interoperability, and scalability.
• Key Design & Development Contributor: Actively participate in the design and development of the Customer Data Product, collaborating with cross-functional teams to evolve its Future State.
• Subject Matter Expert (SME): Provide expertise on Customer 360 data within the Solution teams, overseeing data requirements assessment and ensuring data availability for various Use Cases.

Qualifications

• Undergraduate degree in Technology, Computer Science, Statistics, Economics, applied data sciences or other related fields; advanced degree in related fields preferred.
• 5+ years in IT space specializing in Data & Technology Architecture, Data Engineering and Data Operations is required.
• Ability to interpret data & make data driven decisions, understand & propose data ingestion, storage, integration, and visualization logic for Customer & Sales Data Domain and Syndicated data use cases is required.
• Experience in integration of data ingested from external partners and data providers is preferred.
• Deep knowledge of Data Governance, Master Data Management, Data Harmonization, Data Cataloging, Data Architecture, Data Quality principles and methodologies is required
• Analytical and Critical thinking skills are required.
• Superb interpersonal & communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists. Strong business and financial competence.
• Minimum of 5 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python is required
• Knowledge of viz tools (Tableau,PowerBI,Excel) is preferred.
• 3+ years implementing data products through data mesh / fabric concepts is preferred
• Experience working in Agile methodology; ability to define and implement prototypes and MVPs / RATs.
• Thrives on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
• Experience in building integrations pipelines (API, Database, Flatfiles) from external/internal sources to various destinations and Azure data factory.

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.