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Data Engineering Team Lead
1 month ago
Kenvue is the world's largest pure-play consumer health company by revenue, built on a century of heritage and iconic brands such as Aveeno, Johnsons, Listerine, and Neutrogena. Our science-backed products are recommended by healthcare professionals globally.
We believe in the power of everyday care, and our teams work tirelessly to put that power in consumers' hands and earn a place in their hearts and homes.
Our Vision
We aim to be a leader in consumer health, leveraging technology to improve lives and drive business growth.
Job DescriptionThis role involves leading data engineering teams in Consumer/Healthcare Goods companies, with a strong understanding of business domains within the industry. The ideal candidate will have 8-10 years of experience developing full-stack Data Frameworks, including ETL/ELT, data analysis, compute & storage, data pipelines, orchestration, and Cloud Architecture (Azure, GCP, AWS).
The successful candidate will implement data pipelines enabling data products through data mesh/fabric concepts, with a minimum of 3 years of experience leading data engineering teams using Agile methodology (Scrum/Kanban) within DevSecOps models.
The position requires defining data pipelines to address data challenges, including different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured data harmonization & normalization.
Required Qualifications- Typically requires a minimum of 12 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 7 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
- 8-10 years of progressive experience with developing full stack Data Frameworks: ETL/ELT, data analysis, compute & storage, data pipelines, orchestration
- 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.
- 3+ years implementing data pipelines enabling data products through data mesh / fabric concepts
- Minimum of 3 years leading data engineering teams with planning and execution using Agile methodology (Scrum/Kanban) within DevSecOps model
- Ability define data pipelines to address data challenges: different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data.
- Proven track record leading multiple high-profile projects with demanding deadlines, changing requirements, and working with defined resources. Ability to estimate required effort and prioritize work items appropriately.
$250,000 - $350,000 per year, based on experience and location.
What We Offer- A diverse company culture celebrating the uniqueness of our employees and committed to inclusion.
- Proud to be an equal opportunity employer.
- Risk Management: Identify potential risks and challenges related to data and AI products and develop mitigation plans.