Lead Data Engineer

Blend

Tandil

On-site

ARS 105,913,000 - 166,435,000

Full time

14 days+

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Benefits offered by this job

AWS Certifications programs

Databricks & Snowflake certifications

Udemy Business access

English language learning support

Travel to industry conferences

Mentorship & Career development plans

Flexible working options

Job summary

Blend is seeking a Lead Data Engineer to architect and implement scalable Snowflake-based ingestion and validation solutions for a premier enterprise client. You will lead data platforms design, drive end-to-end ELT pipelines, and enforce governance and quality across analytics workflows.

This client-facing leadership role requires strong communication, proactive problem-solving, and deep expertise in modern data architectures on AWS. Join a team committed to innovation and impact.

Qualifications

4+ years of experience in Data Engineering.
Strong hands-on Snowflake experience.
ELT pipelines and data ingestion expertise.
SQL proficiency and large-scale data processing.
Medallion Architecture implementation knowledge.
AWS data pipelines experience is a plus.
Data quality, validation, and governance familiarity.
CI/CD pipelines for data workflows is a plus.
Familiarity with Iceberg/Snowflake data sharing is a plus.
Experience with dbt, Glue, Athena, EMR, Lambda, Terraform or CloudFormation is a plus.

Responsibilities

Lead design and implementation of Snowflake-based ingestion architectures.
Own end-to-end ELT pipelines integrating multiple data sources.
Design data quality frameworks with validation, testing, and monitoring.
Apply Medallion Architecture best practices across pipelines.
Build and optimize data pipelines on AWS (S3, Glue, Lambda, EMR).
Develop data validation and ingestion frameworks, including UI components if needed.
Provide technical leadership on data governance, reliability, and best practices.
Identify risks and bottlenecks and implement mitigation strategies.
Contribute to data governance, lineage, and stewardship initiatives.
Drive documentation and continuous improvement of platform processes.

Tools

Snowflake

dbt

Glue

Athena

EMR

Lambda

Terraform

CloudFormation

Iceberg

Snowflake Cortex

Snowflake Data Sharing

Job description

Blendis a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

We’re looking for a Lead Data Engineer with strong expertise in Snowflake-based data platforms, modern data architectures, and AWS, to lead the design and implementation of scalable ingestion and validation solutions for a leading enterprise client.

This is a client-facing leadership role, ideal for engineers who combine deep technical expertise with strong communication skills and a proactive mindset. You will play a key role in ensuring high-quality, governed, and reliable data pipelines that power critical business and analytics workflows.

What will you be doing?

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 (Streamlit-based) 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 before they impact delivery.
Contribute to data governance initiatives, including data definitions, lineage, and stewardship practices.
Drive documentation and continuous improvement of data platform processes.

Qualifications

What are we looking for?

4+ years of experience in Data Engineering (strong senior-level or lead mindset expected).
Strong hands-on experience with Snowflake (Must).
Strong 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 Snowflake data sharing (Plus).
Experience with tools such as dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation (Plus).

Additional Information

Our Perks and Benefits

Learning Opportunities

Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.

Travel opportunities to attend industry conferences and meet clients.

Mentoring and Development