Lead Data Engineer – Snowflake / AWS Platform Leader

Blend

Municipio de Esquel

Presencial

ARS 176.967.658 - 265.451.488

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

AWS certification programs
Conferences travel
Mentorship and career development
Birthday and milestone rewards
Company equipment
Flexible working options
LATAM location-specific guidance

Descripción de la vacante

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.

Formación

  • 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)

Responsabilidades

  • 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

Conocimientos

Senior leadership mindset
Snowflake
Medallion Architecture
ELT pipelines
SQL
Data governance
Data quality
AWS
CI/CD for data
Data ingestion

Herramientas

dbt
Glue
Athena
EMR
Lambda
Terraform/CloudFormation
Snowflake Cortex
Iceberg
S3

Descripción del empleo

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.

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