remote
Data Architect - Colgate Palmolive
Software Engineer
Lead enterprise data architecture, designing scalable data models, orchestrating ETL pipelines, and optimizing data warehouses on AWS. Drive data strategy, ensure data quality, and collaborate with cross‑functional teams to deliver actionable insights.
About the role
Key Responsibilities
- Design and maintain enterprise data models, ensuring alignment with business requirements and data governance standards.
- Architect and optimize ETL pipelines using AWS services (Glue, Redshift, S3) to ingest, transform, and load large volumes of structured and unstructured data.
- Collaborate with data engineering, analytics, and business stakeholders to define data architecture roadmaps and best practices.
- Implement data quality, lineage, and security controls across the data ecosystem.
- Evaluate and recommend emerging data technologies and tools to enhance performance and scalability.
Requirements
- 5+ years of experience in data architecture, data modeling, and ETL development.
- Proficiency with SQL, NoSQL, and data warehousing solutions (e.g., Amazon Redshift, Snowflake).
- Hands‑on experience with AWS data services (Glue, Athena, S3, Lambda).
- Strong understanding of big data concepts and distributed processing frameworks.
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.