Description

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® that you already know and love. Science is our passion; care is our talent. Our global team is made by 22, 000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact 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.

What You Will Do

The Data Modeler is responsible to work closely with the Product Management group, internal stakeholders and the Engineering group: • Data Modelling: Creating data architectures and logical/physical data models for databases and data warehouses•Forge trusted partnerships and be an integral part of Data Engineering, Data Architecture & Platforms and Data Science teams to adopt, scale and build data products •Data Warehouse Development & Administration: Designing, developing, implementing a data warehouse to integrate data from various sources/systems within an organization •Developing strategies for data acquisition, archive recovery, and database implementation •Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technology•Drive prioritization and implementation of most appropriate combination of data engineering methodologies & frameworks to ensure optimal scalability, flexibility and performance of platforms, products & solutions•Be an expert and a thought leader of how data and technology come together to empower the business •Conducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics

Key Responsibilities

Perform enterprise level and project level data modelling, including model management, consolidation and integration

Understand business requirements and translate to Conceptual (CDM), Logical (LDM) and Physical (PDM) data model by using industry standards

Managing Data Model for multiple projects and make sure data model in all projects are synchronized and adhering to Enterprise Architecture with proper change management

Establish and manage existing standards for naming and abbreviation conventions, data definitions, ownership, documentation, procedures, and techniques

Adopt, support, and participate in the implementation of the Enterprise Data Management Strategy

Experience in Medallion (Lakehouse) Architecture.

Ensure reusability of model and approach in across different business requirements

Support data specific system integration and support data migration

What We Are Looking For

Required Qualifications

• Typically requires a minimum of 12 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 10 years and a Master degree in Computer or Software Engineering;

• Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture.

• 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.

• 3 years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry

• 5-8 years of progressive experience with Data Modeling

• Minimum of 3 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake, Redshift) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python.

• Should have experience in ER Studio/Erwin data Modeler or equivalent tool

• Should be strong in Data warehousing concepts

• Should have strong database development skills like complex SQL queries, complex store procedures

Desired Qualifications

• Convervant with Data & Analytics product management, Azure, SQL, Data Catalog

• Experience with unstructured data processing and real-time data pipelines

• Preferably from Retail or CPG industry