Job Description
Blendis is hiring a Lead Data Engineer to design and implement scalable ingestion and validation solutions for a leading enterprise client. This client‑facing leadership role requires strong technical expertise in Snowflake-based data platforms, modern data architectures, and AWS, combined with excellent communication skills and a proactive mindset.
Responsibilities
- Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
- Own the development of end‑to‑end ELT pipelines integrating multiple data sources.
- Design and enforce data quality frameworks, including validation rules, testing strategies, and monitoring.
- Apply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines.
- Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.).
- Develop and enhance data validation and ingestion frameworks, including UI components when needed.
- Act as a technical leader, guiding best practices in data engineering, governance,
and pipeline reliability.
- Proactively identify risks, bottlenecks, and data quality issues and implement mitigation strategies.
- Contribute to data governance initiatives, including data definitions, lineage, and stewardship practices.
- Document and continuously improve data platform processes.
Qualifications
- 4+ years of experience in Data Engineering.
- Strong hands‑on experience with Snowflake (Must).
- Experience building ELT pipelines and data ingestion solutions.
- Solid experience with SQL and large‑scale data processing.
- Strong understanding and hands‑on experience with Medallion Architecture (Must).
- Experience building and maintaining data pipelines in AWS (Plus).
- Experience with data quality, validation frameworks, and governance practices.
- Familiarity with Snowflake Cortex (Plus).
- Experience with CI/CD pipelines for data workflows (Plus).
- Experience with Iceberg tables and Sn
📌 Data Engineering Lead (Bogotá)
🏢 Blend
📍 Bogotá