Lead Data Engineer – Snowflake / AWS Platform Leader

Blend; Municipio de Esquel; On-site; ARS 176,967,658 - 265,451,488; Full time

Benefits offered by this job

AWS certification programs

Conferences travel

Mentorship and career development

Birthday and milestone rewards

Company equipment

Flexible working options

LATAM location-specific guidance

Job summary

Blendis seeks a Lead Data Engineer to design and implement scalable Snowflake-based data platforms and end-to-end ELT pipelines on AWS. You will lead client-facing initiatives, ensure data quality, governance, and reliable data pipelines powering analytics and business workflows.

The role combines deep technical expertise with strong communication, guiding best practices and proactive issue mitigation across data engineering, governance, and platform reliability.

Qualifications

• 4+ years of experience in Data Engineering
• Strong Snowflake experience (Must)
• Hands-on ELT pipelines development
• SQL and large-scale data processing
• Medallion Architecture expertise (Must)
• AWS experience (Plus)
• Data governance and quality frameworks
• Familiarity with Snowflake Cortex (Plus)
• CI/CD for data workflows (Plus)
• Iceberg tables and Snowflake data sharing (Plus)
• Tools such as dbt, Glue, Athena, EMR, Lambda, Terraform or CloudFormation (Plus)

Responsibilities

• Lead design and implementation of data ingestion architectures in Snowflake for scalable and reliable pipelines
• Own end-to-end ELT pipelines integrating multiple data sources
• Design and enforce data quality frameworks, validation rules, testing, and monitoring
• Apply Medallion Architecture best practices across data pipelines
• Build and optimize data pipelines on AWS (S3, Glue, Lambda, EMR)
• Develop and enhance data validation and ingestion frameworks, including UI components (Streamlit-based) when needed
• Provide technical leadership on data engineering, governance, and pipeline reliability
• Identify risks and bottlenecks, implement mitigations before delivery impact
• Contribute to data governance, data definitions, lineage and stewardship
• Drive documentation and continuous improvement of data platform processes

Skills

Senior leadership mindset

Snowflake

Medallion Architecture

ELT pipelines

SQL

Data governance

Data quality

AWS

CI/CD for data

Data ingestion

Tools

dbt

Glue

Athena

EMR

Lambda

Terraform/CloudFormation

Snowflake Cortex

Iceberg

S3

Job description

Blendis seeks a Lead Data Engineer to design and implement scalable Snowflake-based data platforms and end-to-end ELT pipelines on AWS. You will lead client-facing initiatives, ensure data quality, governance, and reliable data pipelines powering analytics and business workflows.

The role combines deep technical expertise with strong communication, guiding best practices and proactive issue mitigation across data engineering, governance, and platform reliability.