Chief Data Engineering Architect
5 days ago
Kenvue is the world's largest pure-play consumer health company by revenue. With over a century of heritage, our iconic brands, including Aveeno, Johnsons, Listerine, and Neutrogena, are science-backed and recommended by healthcare professionals globally.
We believe in the extraordinary 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.
What We Offer$140,000 - $160,000 per year
A competitive salary package that reflects your skills and experience.
Job DescriptionWe are seeking an experienced Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data pipelines and architectures.
Key Responsibilities:
- Design and implement full-stack data frameworks: ETL/ELT, data analysis, compute & storage, data pipelines, orchestration
- Leverage 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
- Implement data pipelines enabling data products through data mesh / fabric concepts
- Analyze data challenges: different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data
To succeed in this role, you will need:
- Typically requires a minimum of 5 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 3 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;
- 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;
- Experience implementing data pipelines enabling data products through data mesh / fabric concepts;
- 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;
We offer a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
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