As the Lead, Data Engineering, you will play a pivotal role in designing and prototyping cutting-edge solutions that empower our operations with timely and relevant data.

You'll explore new tools and build cost-effective solutions using the powerful Snowflake and AWS Data Platform.

In this position, you will also lead and inspire our cross-vendor Data Engineering team, driving key initiatives that shape the future of our organization.

Key Responsibilities :

- Develop, customize, and manage integration tools, databases, warehouses, and analytical systems.

- Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.

- Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance.

- Implement best practices around systems integration, security, performance and data management.

- Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.

- Partner with the business, IT, and technical subject matter experts to ensure execution of enterprise-wide data engineering products & platform development.

- Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality.

- Deploy data models 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.

- Monitor the overall performance and stability of the system; adjust and adapt automated pipeline as data, models, and/or requirements change.

- Work with the Data Asset and Capability teams to identify the right data sources and finalize the data architectures for optimal data extraction and transformation.

- Test the reliability and performance of data engineering pipelines and support testing team with data validation activities.

- Partner with various Snowflake 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 Snowflake subject matter expert for other engineers.

- Mentor and train colleagues junior team members.

Required Qualifications :

What We Are Looking For :

- Bachelor's degree in engineering, computer science, or related field.

- 6 to 8 years of total work experience, with at least 4 years of experience in Snowflake Data Engineering tool stack.

- At least one key data engineering professional certification (e.g., SnowPro Associate and Core).

- Experience with data management tools such as Airflow, Airbyte and DBT.

- 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 such as GitHub, GitHub Actions and DevOps practices for CI/CD pipelines.

Desired Qualifications :

- Subject matter expert for Snowflake Data, Analytics & AI with experience Snowflake architecture design is preferred.

- Good understanding of migration and modernization strategies and approaches is preferred.

- Experience with Python, EKS Implementations, Spark, Kafka, and/or Flask is preferred.

Whats 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.

Note : Total Rewards at Kenvue include salary, bonus (if applicable) and benefits.